example_id int64 0 3.52k | metadata stringlengths 680 725 | classification_prompt stringlengths 18k 44.2k | classification_completion stringclasses 14
values | classification_text stringlengths 18.1k 44.2k | improved_signature stringlengths 6.26k 11.4k | improved_model_weights stringlengths 9.45k 24.9k | training_metrics stringlengths 1.45k 2.92k |
|---|---|---|---|---|---|---|---|
0 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.72, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9016, "learning_rate": 0.089... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.423928,
0.599813,
0.26421,
-0.055279,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.423928,
0.599813,
0.26421,
-0.055279,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.5297226905822754, "std": 1.8762309551239014}, "1": {"mean": -3.9017319679260254, "std": 2.5156681537628174}, "2": {"mean": -1.4825490713119507, "std": 1.9457550048828125}, "3": {"mean": -1.8681204319000244, "std": 1.3154653310775757}, "4": {"mean": -1.68... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.423928, 0.599813, 0.26421, -0.055279, 0.137147], [-0.06073, -0.75... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7037525177001953, "train_acc": 0.465, "val_loss": 0.693569004535675, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6716509461402893, "train_acc": 0.565, "val_loss": 0.5419552326202393, "va... |
1 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.030088966... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.327141,
0.268116,
-0.147093,
0.051027,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.327141,
0.268116,
-0.147093,
0.051027,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6738900542259216, "std": 0.9914834499359131}, "1": {"mean": 0.6944124102592468, "std": 0.9108791947364807}, "2": {"mean": 0.25854384899139404, "std": 1.2264961004257202}, "3": {"mean": 0.6265138387680054, "std": 1.4541890621185303}, "4": {"mean": -1.6587... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.327141, 0.268116, -0.147093, 0.051027, 0.167262], [0.221227, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6993178725242615, "train_acc": 0.46, "val_loss": 0.6980134844779968, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6796618402004242, "train_acc": 0.58, "val_loss": 0.724160373210907, "val_... |
2 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.03768... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.35916,
-0.116712,
0.495519,
-0.298782,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.35916,
-0.116712,
0.495519,
-0.298782,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7402181029319763, "std": 1.4910768270492554}, "1": {"mean": -2.209495782852173, "std": 1.2784119844436646}, "2": {"mean": -2.470693349838257, "std": 1.58762788772583}, "3": {"mean": 1.6410764455795288, "std": 1.846755862236023}, "4": {"mean": -0.92777740... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.35916, -0.116712, 0.495519, -0.298782, -0.049486], [-0.11014, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6973289251327515, "train_acc": 0.575, "val_loss": 0.7037309408187866, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6804150938987732, "train_acc": 0.575, "val_loss": 0.6878609657287598, "va... |
3 | {"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8527, "learning_rate": 0.06694353241647961, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.037228,
0.182681,
0.212793,
-0.543584,... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.037228,
0.182681,
0.212793,
-0.543584,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.4563175141811371, "std": 1.1886006593704224}, "1": {"mean": -0.6121354103088379, "std": 1.388602614402771}, "2": {"mean": -0.5221096277236938, "std": 1.3531450033187866}, "3": {"mean": -1.7303040027618408, "std": 2.3692398071289062}, "4": {"mean": -0.42... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.037228, 0.182681, 0.212793, -0.543584, 0.210948], [-0.155349, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.696103036403656, "train_acc": 0.495, "val_loss": 0.6822813153266907, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6582344174385071, "train_acc": 0.605, "val_loss": 0.40621113777160645, "v... |
4 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8490, "learning_rate": 0.0194748682... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.115544,
0.396638,
-0.20141,
0.187095,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.115544,
0.396638,
-0.20141,
0.187095,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0724173784255981, "std": 1.0149778127670288}, "1": {"mean": 0.3310537040233612, "std": 1.8147474527359009}, "2": {"mean": 0.38012662529945374, "std": 1.2714948654174805}, "3": {"mean": 1.4860517978668213, "std": 1.6517521142959595}, "4": {"mean": 0.18708... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.115544, 0.396638, -0.20141, 0.187095, 0.080092], [-0.277495, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920126080513, "train_acc": 0.505, "val_loss": 0.6845905780792236, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6918268799781799, "train_acc": 0.555, "val_loss": 0.6806245446205139, "val_... |
5 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5917, "learning_rate": 0.09835091916223418, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.201929,
-0.090356,
-0.207256,
-0.30870... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.201929,
-0.090356,
-0.207256,
-0.30870... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.5801395177841187, "std": 1.0675100088119507}, "1": {"mean": -4.142641067504883, "std": 2.8983664512634277}, "2": {"mean": -2.4480206966400146, "std": 1.8360939025878906}, "3": {"mean": -1.4079464673995972, "std": 1.5106046199798584}, "4": {"mean": 1.941... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.201929, -0.090356, -0.207256, -0.308703, -0.1039], [-0.865415, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6774950325489044, "train_acc": 0.57, "val_loss": 0.8176354765892029, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7222775518894196, "train_acc": 0.57, "val_loss": 0.6919893026351929, "val... |
6 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1520, "learning_rate": 0.02967955909236341, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.245489,
-0.31413,
0.032204,
-0.672387,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.245489,
-0.31413,
0.032204,
-0.672387,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.2621214389801025, "std": 1.8086063861846924}, "1": {"mean": 0.6236130595207214, "std": 1.0804396867752075}, "2": {"mean": -2.8565242290496826, "std": 1.8115497827529907}, "3": {"mean": 0.355337917804718, "std": 1.536939263343811}, "4": {"mean": 0.444870... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.245489, -0.31413, 0.032204, -0.672387, -0.065173], [-0.247211, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907073855400085, "train_acc": 0.57, "val_loss": 0.7038915157318115, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6780758202075958, "train_acc": 0.57, "val_loss": 0.7078658938407898, "val... |
7 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9646, "learning_rate": 0.07284141560207011, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.696952,
-0.082911,
0.006773,
-0.227097,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.696952,
-0.082911,
0.006773,
-0.227097,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9704694151878357, "std": 2.157749891281128}, "1": {"mean": -2.982142925262451, "std": 1.7270314693450928}, "2": {"mean": -1.3225561380386353, "std": 0.674133837223053}, "3": {"mean": -2.3409526348114014, "std": 1.8313966989517212}, "4": {"mean": 1.357917... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.696952, -0.082911, 0.006773, -0.227097, 0.749355], [0.123217, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6986804008483887, "train_acc": 0.45, "val_loss": 0.7016112804412842, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6714954376220703, "train_acc": 0.56, "val_loss": 0.6196703314781189, "val... |
8 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.6, "improved_accuracy": 0.78, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4866, "learning_rate": 0.0180696113... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.491309,
0.390533,
0.434904,
0.033619,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.491309,
0.390533,
0.434904,
0.033619,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.34316349029541, "std": 1.8655465841293335}, "1": {"mean": -1.3460386991500854, "std": 0.9075648784637451}, "2": {"mean": -1.5344592332839966, "std": 1.2845220565795898}, "3": {"mean": -1.9099485874176025, "std": 1.9432640075683594}, "4": {"mean": 0.60257... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.491309, 0.390533, 0.434904, 0.033619, -0.353556], [0.227196, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911042630672455, "train_acc": 0.55, "val_loss": 0.6901631355285645, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6923060119152069, "train_acc": 0.55, "val_loss": 0.6894872784614563, "val... |
9 | {"target_pattern": "ends_with", "degraded_accuracy": 0.7, "improved_accuracy": 0.88, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3445, "learning_rate": 0.058919206085... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.022928,
0.176098,
0.163301,
-0.077195,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.022928,
0.176098,
0.163301,
-0.077195,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.173392415046692, "std": 1.6432065963745117}, "1": {"mean": -1.3464220762252808, "std": 1.835647702217102}, "2": {"mean": -1.8515267372131348, "std": 1.6468989849090576}, "3": {"mean": 1.1733750104904175, "std": 2.05639910697937}, "4": {"mean": -2.6955194... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.022928, 0.176098, 0.163301, -0.077195, 0.83431], [-0.586735, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6759476959705353, "train_acc": 0.53, "val_loss": 0.7076560258865356, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5909649729728699, "train_acc": 0.64, "val_loss": 0.5106574296951294, "val_... |
10 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 1.0, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2923, "learning_rate": 0.026539596749553904, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.157619,
-0.300581,
0.449573... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.295104,
0.157619,
-0.300581,
0.449573... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.007024782244116068, "std": 1.4024124145507812}, "1": {"mean": -0.392598420381546, "std": 1.0452303886413574}, "2": {"mean": -2.2139790058135986, "std": 1.580442190170288}, "3": {"mean": -1.1234856843948364, "std": 0.844567596912384}, "4": {"mean": -0.27... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.295104, 0.157619, -0.300581, 0.449573, -0.078499], [-0.261542, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6759155988693237, "train_acc": 0.595, "val_loss": 0.8016272783279419, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6747582256793976, "train_acc": 0.595, "val_loss": 0.74261474609375, "val_... |
11 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2113, "learning_rate": 0.0493680412770662, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.349463,
-0.367168,
-0.366104,
0.191511... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.349463,
-0.367168,
-0.366104,
0.191511... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.4251273274421692, "std": 1.9273563623428345}, "1": {"mean": 0.9509042501449585, "std": 1.7494866847991943}, "2": {"mean": 1.495679259300232, "std": 1.600165843963623}, "3": {"mean": 0.346733033657074, "std": 1.560514211654663}, "4": {"mean": 1.244554281... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.349463, -0.367168, -0.366104, 0.191511, 0.770303], [0.079124, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6835798919200897, "train_acc": 0.575, "val_loss": 0.7068905830383301, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6620032787322998, "train_acc": 0.575, "val_loss": 0.6168084144592285, "v... |
12 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.62, "improvement": 0.15999999999999998, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1306, "learning_rate": 0.08659... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.198442,
0.039462,
-0.510525,
-0.029536,... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.198442,
0.039462,
-0.510525,
-0.029536,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.7145928144454956, "std": 0.9330496788024902}, "1": {"mean": -4.181463718414307, "std": 3.723750352859497}, "2": {"mean": -0.8459610939025879, "std": 0.8063166737556458}, "3": {"mean": -1.3442307710647583, "std": 1.3775951862335205}, "4": {"mean": -2.511... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.198442, 0.039462, -0.510525, -0.029536, 0.051013], [-1.091642, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6736518144607544, "train_acc": 0.58, "val_loss": 1.2905339002609253, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.874783992767334, "train_acc": 0.58, "val_loss": 0.7240107655525208, "val_... |
13 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1822, "learning_rate": 0.04873785800456769, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.383857,
-0.058992,
-0.513662,
-0.13919... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.383857,
-0.058992,
-0.513662,
-0.13919... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.941786766052246, "std": 1.9007395505905151}, "1": {"mean": 2.20391583442688, "std": 2.3341591358184814}, "2": {"mean": 1.21193265914917, "std": 1.4692271947860718}, "3": {"mean": -0.6926345229148865, "std": 0.919583261013031}, "4": {"mean": 1.2935895919... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.383857, -0.058992, -0.513662, -0.139198, -0.442107], [0.825066, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6858700811862946, "train_acc": 0.475, "val_loss": 0.7855911254882812, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6811048686504364, "train_acc": 0.595, "val_loss": 0.7944337725639343, "v... |
14 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7864, "learning_rate": 0.03303242656569421, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.267159,
-0.325733,
-0.063498,
0.21621,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.267159,
-0.325733,
-0.063498,
0.21621,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.18353983759880066, "std": 1.0828644037246704}, "1": {"mean": 0.4291723370552063, "std": 1.674098014831543}, "2": {"mean": 1.1700024604797363, "std": 1.3895162343978882}, "3": {"mean": -0.24133345484733582, "std": 1.5614866018295288}, "4": {"mean": -0.448... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.267159, -0.325733, -0.063498, 0.21621, 0.251127], [0.625162, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6824952960014343, "train_acc": 0.58, "val_loss": 0.709160327911377, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.683276891708374, "train_acc": 0.58, "val_loss": 0.6910487413406372, "val_ac... |
15 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.76, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4346, "learning_rate": 0.054... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.75805,
0.111167,
-0.149519,
0.232572,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.75805,
0.111167,
-0.149519,
0.232572,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.653817892074585, "std": 1.6029719114303589}, "1": {"mean": 1.9411587715148926, "std": 1.6276949644088745}, "2": {"mean": 1.0210905075073242, "std": 1.1119434833526611}, "3": {"mean": -2.714181423187256, "std": 2.0917255878448486}, "4": {"mean": 1.6145002... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.75805, 0.111167, -0.149519, 0.232572, -0.060745], [0.475335, 0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7132851183414459, "train_acc": 0.44, "val_loss": 0.6893000602722168, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6794843077659607, "train_acc": 0.56, "val_loss": 0.6746946573257446, "val... |
16 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.66, "improved_accuracy": 0.92, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6709, "learning_rate": 0.05912918367929151, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.823912,
-0.318145,
-0.296823,
0.30964,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.823912,
-0.318145,
-0.296823,
0.30964,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.8574382066726685, "std": 2.3584468364715576}, "1": {"mean": -3.7019596099853516, "std": 2.6236677169799805}, "2": {"mean": 0.5817585587501526, "std": 2.3227789402008057}, "3": {"mean": -3.276829719543457, "std": 2.383305549621582}, "4": {"mean": -0.3674... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.823912, -0.318145, -0.296823, 0.30964, 0.57002], [-0.971601, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7020740211009979, "train_acc": 0.445, "val_loss": 0.6827208995819092, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829322576522827, "train_acc": 0.555, "val_loss": 0.6385866403579712, "va... |
17 | {"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.74, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7484, "learning_rate": 0.06289900... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.268459,
0.447856,
0.101105,
0.458867,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.268459,
0.447856,
0.101105,
0.458867,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.9727007150650024, "std": 1.6880894899368286}, "1": {"mean": -0.4539758563041687, "std": 1.198413372039795}, "2": {"mean": -0.45573583245277405, "std": 1.089475154876709}, "3": {"mean": 1.2110638618469238, "std": 1.2545807361602783}, "4": {"mean": 1.76113... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.268459, 0.447856, 0.101105, 0.458867, -0.302967], [-0.445976, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6955868005752563, "train_acc": 0.465, "val_loss": 0.6819801330566406, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6901136040687561, "train_acc": 0.545, "val_loss": 0.6809418201446533, "v... |
18 | {"target_pattern": "ends_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.58, "improvement": 0.15999999999999998, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5289, "learning_rate": 0.0578973057... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.346986,
-0.266174,
-0.50696,
-0.28545... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.346986,
-0.266174,
-0.50696,
-0.28545... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.8280396461486816, "std": 1.7635610103607178}, "1": {"mean": -0.8084365129470825, "std": 1.0009746551513672}, "2": {"mean": -1.0752265453338623, "std": 1.2249829769134521}, "3": {"mean": 0.9473192691802979, "std": 1.0506386756896973}, "4": {"mean": 0.406... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.346986, -0.266174, -0.50696, -0.285451, -0.000338], [-0.175625,... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851978898048401, "train_acc": 0.51, "val_loss": 1.0192824602127075, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7250736653804779, "train_acc": 0.6, "val_loss": 0.7208023071289062, "val_... |
19 | {"target_pattern": "starts_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.8, "improvement": 0.38000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7287, "learning_rate": 0.0289933030... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.950531,
0.158306,
0.096405,
0.077234,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.950531,
0.158306,
0.096405,
0.077234,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4497743844985962, "std": 2.091898202896118}, "1": {"mean": 0.8952928185462952, "std": 1.3714280128479004}, "2": {"mean": 0.057680126279592514, "std": 1.2734013795852661}, "3": {"mean": 0.49338260293006897, "std": 2.2069079875946045}, "4": {"mean": 0.5953... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.950531, 0.158306, 0.096405, 0.077234, -0.102044], [0.108927, 0.13... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6674647331237793, "train_acc": 0.6, "val_loss": 0.7578877210617065, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6621017158031464, "train_acc": 0.6, "val_loss": 0.7061387896537781, "val_a... |
20 | {"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.74, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7449, "learning_rate": 0.057638539... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.18417,
-0.388959,
-0.434343,
0.274559,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.18417,
-0.388959,
-0.434343,
0.274559,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.8764488101005554, "std": 1.1373770236968994}, "1": {"mean": 1.5238505601882935, "std": 1.8145612478256226}, "2": {"mean": 1.111651062965393, "std": 1.6369489431381226}, "3": {"mean": -0.4077049791812897, "std": 1.3446904420852661}, "4": {"mean": -0.0462... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.18417, -0.388959, -0.434343, 0.274559, -0.036755], [0.843446, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6819959580898285, "train_acc": 0.585, "val_loss": 0.731518566608429, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6797401607036591, "train_acc": 0.585, "val_loss": 0.7131066918373108, "va... |
21 | {"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8389, "learning_rate": 0.07297212547380703, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.49902,
0.211399,
0.021656,
-0.088196,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.49902,
0.211399,
0.021656,
-0.088196,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.191221237182617, "std": 2.19684100151062}, "1": {"mean": -0.15662604570388794, "std": 2.4309334754943848}, "2": {"mean": -0.10850933939218521, "std": 0.9826496839523315}, "3": {"mean": -1.075335144996643, "std": 1.5915998220443726}, "4": {"mean": -0.6421... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.49902, 0.211399, 0.021656, -0.088196, 0.906825], [-0.914602, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6947181522846222, "train_acc": 0.57, "val_loss": 0.6955044269561768, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.684671938419342, "train_acc": 0.57, "val_loss": 0.6935372352600098, "val_... |
22 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9120, "learning_rate": 0.064... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.194017,
-0.00589,
0.11934,
-0.207901,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.194017,
-0.00589,
0.11934,
-0.207901,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.7023138403892517, "std": 1.2216671705245972}, "1": {"mean": 1.1741068363189697, "std": 1.6136996746063232}, "2": {"mean": -0.10159590095281601, "std": 0.9324824810028076}, "3": {"mean": 2.940925359725952, "std": 2.1721670627593994}, "4": {"mean": -1.802... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.194017, -0.00589, 0.11934, -0.207901, -0.540496], [-0.490852, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6878292262554169, "train_acc": 0.575, "val_loss": 0.7070570588111877, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810204386711121, "train_acc": 0.575, "val_loss": 0.6592477560043335, "va... |
23 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3114, "learning_rate": 0.026598008388763666, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.193974,
-0.392883,
0.126884,
-0.080814,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.193974,
-0.392883,
0.126884,
-0.080814,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.07558117806911469, "std": 1.0967037677764893}, "1": {"mean": -2.6256256103515625, "std": 1.4647852182388306}, "2": {"mean": 0.239857017993927, "std": 1.3956927061080933}, "3": {"mean": 0.885779082775116, "std": 0.7427845001220703}, "4": {"mean": 0.53378... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.193974, -0.392883, 0.126884, -0.080814, 0.352978], [-0.044268, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7037560641765594, "train_acc": 0.445, "val_loss": 0.6939337253570557, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6918874680995941, "train_acc": 0.475, "val_loss": 0.6793676614761353, "v... |
24 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4611, "learning_rate": 0.03473103... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.016922,
-0.237186,
-0.370404,
0.404832,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.016922,
-0.237186,
-0.370404,
0.404832,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.30323171615600586, "std": 1.9681470394134521}, "1": {"mean": -2.2181994915008545, "std": 1.551824927330017}, "2": {"mean": 1.2645041942596436, "std": 1.7475500106811523}, "3": {"mean": 1.7077218294143677, "std": 1.9961036443710327}, "4": {"mean": -0.7491... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.016922, -0.237186, -0.370404, 0.404832, 0.008611], [-0.426882, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7077939510345459, "train_acc": 0.435, "val_loss": 0.6837251782417297, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6720219850540161, "train_acc": 0.565, "val_loss": 0.7055045366287231, "v... |
25 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7000, "learning_rate": 0.0252... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.655371,
-0.054422,
-0.104239,
-0.37884... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.655371,
-0.054422,
-0.104239,
-0.37884... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.2595665454864502, "std": 1.5837972164154053}, "1": {"mean": 0.632814884185791, "std": 1.2540713548660278}, "2": {"mean": -0.12058307975530624, "std": 1.5284056663513184}, "3": {"mean": -1.899734377861023, "std": 1.3590000867843628}, "4": {"mean": -1.043... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.655371, -0.054422, -0.104239, -0.378845, 0.209322], [-0.188889, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868928372859955, "train_acc": 0.57, "val_loss": 0.6915097832679749, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6920016407966614, "train_acc": 0.57, "val_loss": 0.6885321140289307, "val... |
26 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.82, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8046, "learning_rate": 0.03723762866... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.068483,
-0.273161,
-0.187145,
-0.32858... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.068483,
-0.273161,
-0.187145,
-0.32858... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.7115312814712524, "std": 1.1327234506607056}, "1": {"mean": -1.1506268978118896, "std": 1.6937084197998047}, "2": {"mean": 0.22320884466171265, "std": 0.8477293252944946}, "3": {"mean": 0.6929605603218079, "std": 1.1376912593841553}, "4": {"mean": 1.798... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.068483, -0.273161, -0.187145, -0.328584, -0.025691], [-0.44483, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6878978610038757, "train_acc": 0.505, "val_loss": 0.6796153783798218, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.662693977355957, "train_acc": 0.565, "val_loss": 0.560916006565094, "val... |
27 | {"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.72, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8233, "learning_rate": 0.08877089693... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.329618,
0.457752,
-0.151612,
0.474573,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.329618,
0.457752,
-0.151612,
0.474573,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.4295437335968018, "std": 2.420541286468506}, "1": {"mean": 0.863072395324707, "std": 1.4454675912857056}, "2": {"mean": 0.013255969621241093, "std": 1.4703396558761597}, "3": {"mean": 0.8233102560043335, "std": 1.6156967878341675}, "4": {"mean": -1.23820... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.329618, 0.457752, -0.151612, 0.474573, 0.834758], [-0.490159, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6915116906166077, "train_acc": 0.515, "val_loss": 0.6903112530708313, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6849730312824249, "train_acc": 0.555, "val_loss": 0.6975389719009399, "v... |
28 | {"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3187, "learning_rate": 0.06433198... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.78052,
0.033848,
0.246204,
0.463126,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.78052,
0.033848,
0.246204,
0.463126,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.615699529647827, "std": 1.9839370250701904}, "1": {"mean": -0.5836509466171265, "std": 1.528762936592102}, "2": {"mean": 2.056696653366089, "std": 1.9301241636276245}, "3": {"mean": -1.5697447061538696, "std": 1.7289284467697144}, "4": {"mean": 0.6890239... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.78052, 0.033848, 0.246204, 0.463126, -0.134255], [0.396297, 0.11... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6880509257316589, "train_acc": 0.485, "val_loss": 0.736362636089325, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6760503351688385, "train_acc": 0.575, "val_loss": 0.7617707252502441, "va... |
29 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.74, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9587, "learning_rate": 0.0745170284... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.076697,
0.579922,
-0.008452,
0.170978,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.076697,
0.579922,
-0.008452,
0.170978,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5421375036239624, "std": 3.0106325149536133}, "1": {"mean": 1.7690972089767456, "std": 3.135239839553833}, "2": {"mean": -2.200925350189209, "std": 1.7131800651550293}, "3": {"mean": 0.3549876809120178, "std": 2.133373975753784}, "4": {"mean": -2.5913798... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.076697, 0.579922, -0.008452, 0.170978, -0.907361], [1.337835, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6749314367771149, "train_acc": 0.595, "val_loss": 0.8071852326393127, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6783533692359924, "train_acc": 0.595, "val_loss": 0.7543992400169373, "va... |
30 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9408, "learning_rate": 0.017425707... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.250162,
-0.152529,
0.541966,
-0.132008,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.250162,
-0.152529,
0.541966,
-0.132008,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6908355355262756, "std": 1.3401682376861572}, "1": {"mean": 0.5067172646522522, "std": 1.6574097871780396}, "2": {"mean": 1.5124372243881226, "std": 1.9576292037963867}, "3": {"mean": 0.5196080803871155, "std": 1.5375417470932007}, "4": {"mean": 0.385898... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.250162, -0.152529, 0.541966, -0.132008, 0.081485], [0.572086, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7146032154560089, "train_acc": 0.43, "val_loss": 0.6939755082130432, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6976771056652069, "train_acc": 0.43, "val_loss": 0.6915498375892639, "val_... |
31 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6350, "learning_rate": 0.02157... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.135459,
-0.22625,
-0.046298,
0.046006,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.135459,
-0.22625,
-0.046298,
0.046006,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.6530858278274536, "std": 1.2226781845092773}, "1": {"mean": -1.5333913564682007, "std": 1.2345763444900513}, "2": {"mean": 0.3553667366504669, "std": 1.2669224739074707}, "3": {"mean": 0.8649657368659973, "std": 0.8628661036491394}, "4": {"mean": 1.1382... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.135459, -0.22625, -0.046298, 0.046006, -0.551073], [-0.005222, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7035761177539825, "train_acc": 0.405, "val_loss": 0.6940683126449585, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6882136166095734, "train_acc": 0.595, "val_loss": 0.7056843638420105, "v... |
32 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.8, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2412, "learning_rate": 0.09693395560... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.823631,
-0.900546,
-0.600979,
-0.79846... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.823631,
-0.900546,
-0.600979,
-0.79846... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -7.663747310638428, "std": 4.643835544586182}, "1": {"mean": -1.1723463535308838, "std": 1.6542980670928955}, "2": {"mean": 0.5108813643455505, "std": 1.4893193244934082}, "3": {"mean": -3.3568308353424072, "std": 2.022645950317383}, "4": {"mean": 0.054214... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.823631, -0.900546, -0.600979, -0.79846, -0.996352], [0.155421, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6765534281730652, "train_acc": 0.575, "val_loss": 0.7576220631599426, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6950961649417877, "train_acc": 0.575, "val_loss": 0.6913029551506042, "v... |
33 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7204, "learning_rate": 0.02394151189439362,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.550446,
0.15638,
0.461507,
-0.234726,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.550446,
0.15638,
0.461507,
-0.234726,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6708394289016724, "std": 1.2539288997650146}, "1": {"mean": 1.4954736232757568, "std": 1.0657826662063599}, "2": {"mean": 0.6165304183959961, "std": 1.5334389209747314}, "3": {"mean": -1.2468868494033813, "std": 1.1809571981430054}, "4": {"mean": 0.89378... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.550446, 0.15638, 0.461507, -0.234726, 0.208987], [0.21642, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7120591402053833, "train_acc": 0.425, "val_loss": 0.6925024390220642, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845024824142456, "train_acc": 0.515, "val_loss": 0.7013287544250488, "v... |
34 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.76, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2084, "learning_rate": 0.07613021159... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.281988,
0.375667,
0.445545,
-0.045208,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.281988,
0.375667,
0.445545,
-0.045208,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.3400087356567383, "std": 1.9123177528381348}, "1": {"mean": 1.8573739528656006, "std": 1.7955820560455322}, "2": {"mean": -0.1888110637664795, "std": 1.3630813360214233}, "3": {"mean": -2.2644174098968506, "std": 2.060438632965088}, "4": {"mean": -2.0973... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.281988, 0.375667, 0.445545, -0.045208, 0.484484], [0.461911, 0.08... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6903218626976013, "train_acc": 0.56, "val_loss": 0.6788618564605713, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845608055591583, "train_acc": 0.56, "val_loss": 0.6585192680358887, "val... |
35 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6322, "learning_rate": 0.039516149425793824, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.199815,
0.185695,
0.406648,
-0.207973,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.199815,
0.185695,
0.406648,
-0.207973,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.13719803094863892, "std": 1.0650793313980103}, "1": {"mean": 0.19858817756175995, "std": 1.5347344875335693}, "2": {"mean": -2.6538658142089844, "std": 1.6327928304672241}, "3": {"mean": 0.22943827509880066, "std": 1.2017546892166138}, "4": {"mean": 1.33... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.199815, 0.185695, 0.406648, -0.207973, -0.331775], [0.417077, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6855216026306152, "train_acc": 0.525, "val_loss": 0.6800784468650818, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6856750249862671, "train_acc": 0.555, "val_loss": 0.6766913533210754, "v... |
36 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.68, "improvement": 0.22000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7866, "learning_rate": 0.033... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.190132,
0.027147,
-0.259051,
-0.075301... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.190132,
0.027147,
-0.259051,
-0.075301... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.13795733451843262, "std": 0.7822422981262207}, "1": {"mean": 0.7803089618682861, "std": 1.2843540906906128}, "2": {"mean": 0.4347703158855438, "std": 1.1054866313934326}, "3": {"mean": 0.6553016901016235, "std": 1.1365573406219482}, "4": {"mean": 1.26282... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.190132, 0.027147, -0.259051, -0.075301, 0.33311], [0.085569, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7129103243350983, "train_acc": 0.44, "val_loss": 0.6973915696144104, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820598244667053, "train_acc": 0.56, "val_loss": 0.7401612997055054, "val... |
37 | {"target_pattern": "palindrome", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6259, "learning_rate": 0.0822847395038574, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.481301,
-0.167693,
-0.268575,
0.121008... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.481301,
-0.167693,
-0.268575,
0.121008... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.2965264320373535, "std": 2.0508878231048584}, "1": {"mean": 1.0863748788833618, "std": 3.1936421394348145}, "2": {"mean": -0.30300119519233704, "std": 2.1624197959899902}, "3": {"mean": -4.288550853729248, "std": 2.5232982635498047}, "4": {"mean": 2.872... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.481301, -0.167693, -0.268575, 0.121008, 0.961528], [-1.106582, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7012172341346741, "train_acc": 0.465, "val_loss": 0.6798886656761169, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6915833652019501, "train_acc": 0.545, "val_loss": 0.681135892868042, "va... |
38 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.02728142460... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.660738,
-0.250855,
0.21517,
0.075482,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.660738,
-0.250855,
0.21517,
0.075482,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0651893615722656, "std": 1.7107954025268555}, "1": {"mean": -1.0066713094711304, "std": 0.9185933470726013}, "2": {"mean": 0.3373996317386627, "std": 0.9123482704162598}, "3": {"mean": 1.547913908958435, "std": 1.405842900276184}, "4": {"mean": -0.333568... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.660738, -0.250855, 0.21517, 0.075482, 0.36321], [-0.191175, 0.251... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7052889168262482, "train_acc": 0.435, "val_loss": 0.6919834613800049, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6891927123069763, "train_acc": 0.565, "val_loss": 0.6803131103515625, "v... |
39 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7385, "learning_rate": 0.03768603114... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.026752,
-0.337576,
-0.001029,
0.071318... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.026752,
-0.337576,
-0.001029,
0.071318... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.3749489188194275, "std": 1.1350427865982056}, "1": {"mean": 0.06764093786478043, "std": 2.065692186355591}, "2": {"mean": -0.5938820838928223, "std": 1.3102658987045288}, "3": {"mean": 0.21148785948753357, "std": 1.140851616859436}, "4": {"mean": -1.313... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.026752, -0.337576, -0.001029, 0.071318, 0.510897], [-0.59323, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6866337656974792, "train_acc": 0.55, "val_loss": 0.6775323748588562, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6704631447792053, "train_acc": 0.55, "val_loss": 0.6274819374084473, "val... |
40 | {"target_pattern": "ends_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.7, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9985, "learning_rate": 0.055848427427... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.161995,
-0.460345,
-0.62463,
-0.050232... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.161995,
-0.460345,
-0.62463,
-0.050232... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.18086576461792, "std": 1.8440444469451904}, "1": {"mean": -1.719531536102295, "std": 1.8903522491455078}, "2": {"mean": -2.087977170944214, "std": 1.548724889755249}, "3": {"mean": 0.4103583097457886, "std": 1.5111960172653198}, "4": {"mean": 1.06935119... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.161995, -0.460345, -0.62463, -0.050232, -0.08825], [-0.539552, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6891997158527374, "train_acc": 0.595, "val_loss": 0.7087085247039795, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6625109016895294, "train_acc": 0.595, "val_loss": 0.9353840351104736, "v... |
41 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5507, "learning_rate": 0.05480493120407655, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.068913,
-0.522817,
-0.241571,
0.22056... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.068913,
-0.522817,
-0.241571,
0.22056... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.944480538368225, "std": 1.3479515314102173}, "1": {"mean": -1.584932565689087, "std": 1.4263781309127808}, "2": {"mean": -1.2061381340026855, "std": 1.214354395866394}, "3": {"mean": 1.740278959274292, "std": 3.027216672897339}, "4": {"mean": 2.02887105... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.068913, -0.522817, -0.241571, 0.220563, -0.310445], [0.114568, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689659059047699, "train_acc": 0.54, "val_loss": 0.7014906406402588, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7365549504756927, "train_acc": 0.58, "val_loss": 0.7100476026535034, "val_... |
42 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.08356802268451656, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.367886,
-0.135639,
-0.237233,
-0.1784... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.367886,
-0.135639,
-0.237233,
-0.1784... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.5081496238708496, "std": 1.6449395418167114}, "1": {"mean": 0.3225046992301941, "std": 0.6455587148666382}, "2": {"mean": -2.5440399646759033, "std": 1.6815871000289917}, "3": {"mean": -2.4729416370391846, "std": 1.7075014114379883}, "4": {"mean": -0.02... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.367886, -0.135639, -0.237233, -0.178463, -0.48171], [0.064002, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926681697368622, "train_acc": 0.575, "val_loss": 0.7109315395355225, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6816876232624054, "train_acc": 0.575, "val_loss": 0.6734457612037659, "v... |
43 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9124, "learning_rate": 0.05450317299859903, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.375648,
-0.122673,
-0.152492,
0.424227,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.375648,
-0.122673,
-0.152492,
0.424227,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5021904706954956, "std": 1.8220241069793701}, "1": {"mean": 1.517102599143982, "std": 1.6683958768844604}, "2": {"mean": -0.9274067282676697, "std": 1.5555799007415771}, "3": {"mean": 0.22150611877441406, "std": 1.1608974933624268}, "4": {"mean": -0.4098... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.375648, -0.122673, -0.152492, 0.424227, 0.707479], [0.228052, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934367418289185, "train_acc": 0.46, "val_loss": 0.7187743186950684, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674046814441681, "train_acc": 0.58, "val_loss": 0.7003018856048584, "val... |
44 | {"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.72, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1794, "learning_rate": 0.045307675... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.361791,
0.394401,
0.298761,
0.414086,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.361791,
0.394401,
0.298761,
0.414086,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.170734405517578, "std": 1.797639012336731}, "1": {"mean": 0.4691283404827118, "std": 1.5644859075546265}, "2": {"mean": -0.60402512550354, "std": 1.391888976097107}, "3": {"mean": -2.2870495319366455, "std": 1.8411002159118652}, "4": {"mean": 0.487279504... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.361791, 0.394401, 0.298761, 0.414086, -0.329796], [0.723345, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6835441291332245, "train_acc": 0.58, "val_loss": 0.73040771484375, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6746340990066528, "train_acc": 0.58, "val_loss": 0.6906019449234009, "val_a... |
45 | {"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3911, "learning_rate": 0.039427086... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.353337,
-0.42411,
-0.162811,
0.343016,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.353337,
-0.42411,
-0.162811,
0.343016,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.15858367085456848, "std": 0.9943596720695496}, "1": {"mean": 0.21837419271469116, "std": 1.2238876819610596}, "2": {"mean": 1.6279940605163574, "std": 1.7751057147979736}, "3": {"mean": -1.1144118309020996, "std": 1.7428990602493286}, "4": {"mean": -0.6... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.353337, -0.42411, -0.162811, 0.343016, -0.268072], [-0.473915, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7065514028072357, "train_acc": 0.42, "val_loss": 0.7001283168792725, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6854180991649628, "train_acc": 0.58, "val_loss": 0.7534881830215454, "val... |
46 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8626, "learning_rate": 0.0256... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.168177,
-0.01345,
0.331605,
0.131194,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.168177,
-0.01345,
0.331605,
0.131194,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.7468394041061401, "std": 1.1486730575561523}, "1": {"mean": 0.34360381960868835, "std": 1.0220555067062378}, "2": {"mean": 0.45403239130973816, "std": 0.9724065661430359}, "3": {"mean": 0.16801300644874573, "std": 1.160335898399353}, "4": {"mean": 0.1577... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.168177, -0.01345, 0.331605, 0.131194, 0.307954], [0.055964, 0.298... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6996201574802399, "train_acc": 0.4, "val_loss": 0.6895860433578491, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852500438690186, "train_acc": 0.56, "val_loss": 0.6885501146316528, "val_... |
47 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.56, "improved_accuracy": 0.8, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1955, "learning_rate": 0.09855088108934446, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.445483,
-0.93107,
-0.450028,
-0.567205... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.445483,
-0.93107,
-0.450028,
-0.567205... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -5.797167778015137, "std": 3.4450860023498535}, "1": {"mean": 0.9709121584892273, "std": 0.965217113494873}, "2": {"mean": -1.8753265142440796, "std": 1.2724155187606812}, "3": {"mean": 0.13472922146320343, "std": 1.8051140308380127}, "4": {"mean": -6.1121... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.445483, -0.93107, -0.450028, -0.567205, -0.612623], [-0.38265, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6798207461833954, "train_acc": 0.565, "val_loss": 0.7597177028656006, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7258334755897522, "train_acc": 0.565, "val_loss": 0.6865394711494446, "v... |
48 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.033... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.277145,
-0.18901,
0.239727,
-0.355825,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.277145,
-0.18901,
0.239727,
-0.355825,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.4089051485061646, "std": 1.4262399673461914}, "1": {"mean": 0.319420725107193, "std": 1.1941452026367188}, "2": {"mean": -0.13313911855220795, "std": 0.7664978504180908}, "3": {"mean": 2.7358975410461426, "std": 1.6625866889953613}, "4": {"mean": 1.8106... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.277145, -0.18901, 0.239727, -0.355825, -0.430504], [0.02014, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6979497969150543, "train_acc": 0.46, "val_loss": 0.6981184482574463, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6792392134666443, "train_acc": 0.57, "val_loss": 0.7045915126800537, "val... |
49 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2322, "learning_rate": 0.04437... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.100213,
0.113324,
0.572599,
0.560742,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.100213,
0.113324,
0.572599,
0.560742,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.069941282272339, "std": 1.7213057279586792}, "1": {"mean": 0.7327718734741211, "std": 1.31390380859375}, "2": {"mean": -1.7249222993850708, "std": 1.712296724319458}, "3": {"mean": -0.11507076770067215, "std": 1.4271501302719116}, "4": {"mean": 1.0025715... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.100213, 0.113324, 0.572599, 0.560742, -0.148817], [0.36081, 0.357... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017080783843994, "train_acc": 0.435, "val_loss": 0.6877849102020264, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6849072277545929, "train_acc": 0.555, "val_loss": 0.6262473464012146, "v... |
50 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9301, "learning_rate": 0.03... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.133656,
0.07394,
-0.295088,
0.452503,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.133656,
0.07394,
-0.295088,
0.452503,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7868514060974121, "std": 1.2125053405761719}, "1": {"mean": -0.004686902742832899, "std": 0.78713458776474}, "2": {"mean": 0.2731322944164276, "std": 1.163456678390503}, "3": {"mean": 0.41325780749320984, "std": 1.018690586090088}, "4": {"mean": 1.528723... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.133656, 0.07394, -0.295088, 0.452503, 0.091598], [-0.289872, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907926201820374, "train_acc": 0.51, "val_loss": 0.7096548676490784, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6806621253490448, "train_acc": 0.58, "val_loss": 0.7394575476646423, "val... |
51 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3433, "learning_rate": 0.01611834... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.531357,
-0.165926,
-0.493328,
0.285175,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.531357,
-0.165926,
-0.493328,
0.285175,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.13771788775920868, "std": 1.2697728872299194}, "1": {"mean": -1.0925225019454956, "std": 1.4418386220932007}, "2": {"mean": 0.31750553846359253, "std": 1.2969859838485718}, "3": {"mean": -0.9162710309028625, "std": 0.7404358983039856}, "4": {"mean": -0.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.531357, -0.165926, -0.493328, 0.285175, 0.042325], [-0.199481, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6967238485813141, "train_acc": 0.445, "val_loss": 0.69221031665802, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6895938515663147, "train_acc": 0.555, "val_loss": 0.6830981373786926, "val... |
52 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7048, "learning_rate": 0.04198946419763812, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.010575,
-0.416981,
-0.255672,
-0.16733... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.010575,
-0.416981,
-0.255672,
-0.16733... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.5228010416030884, "std": 1.1667653322219849}, "1": {"mean": 1.5167850255966187, "std": 2.0818254947662354}, "2": {"mean": -1.7017080783843994, "std": 1.0033929347991943}, "3": {"mean": 0.822725772857666, "std": 1.8941136598587036}, "4": {"mean": 1.65572... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.010575, -0.416981, -0.255672, -0.167333, -0.042616], [0.799425, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7208048403263092, "train_acc": 0.41, "val_loss": 0.6946765780448914, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.672873318195343, "train_acc": 0.59, "val_loss": 0.736491858959198, "val_a... |
53 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 1.0, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6942, "learning_rate": 0.039815314088510245, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.030479,
0.295715,
0.259384,
0.463793,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.030479,
0.295715,
0.259384,
0.463793,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.4563207626342773, "std": 1.6772894859313965}, "1": {"mean": 2.309281826019287, "std": 1.565244197845459}, "2": {"mean": -0.37566077709198, "std": 0.9333345890045166}, "3": {"mean": -1.137488603591919, "std": 1.10295569896698}, "4": {"mean": -0.9665579199... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.030479, 0.295715, 0.259384, 0.463793, 0.392518], [-0.36888, 0.32... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6942170858383179, "train_acc": 0.49, "val_loss": 0.7142910957336426, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6901425123214722, "train_acc": 0.59, "val_loss": 0.7417163252830505, "val... |
54 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4441, "learning_rate": 0.08862911508587232, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.031754,
0.333913,
-0.229773,
-0.26891... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.031754,
0.333913,
-0.229773,
-0.26891... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.4773370027542114, "std": 0.9088706374168396}, "1": {"mean": 0.013976030983030796, "std": 0.5326191782951355}, "2": {"mean": 0.6883494257926941, "std": 1.116028070449829}, "3": {"mean": 1.3852957487106323, "std": 1.2721389532089233}, "4": {"mean": -0.330... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.031754, 0.333913, -0.229773, -0.268913, -0.202393], [-0.208928,... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907064318656921, "train_acc": 0.485, "val_loss": 0.6898394823074341, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5586873143911362, "train_acc": 0.575, "val_loss": 0.5625157356262207, "v... |
55 | {"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7193, "learning_rate": 0.032888687983937945, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.432357,
0.45709,
0.162583,
0.323898,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.432357,
0.45709,
0.162583,
0.323898,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.8797249794006348, "std": 1.476764440536499}, "1": {"mean": 2.288058042526245, "std": 1.4947963953018188}, "2": {"mean": 1.7820193767547607, "std": 1.4868409633636475}, "3": {"mean": -0.15723378956317902, "std": 1.4491440057754517}, "4": {"mean": 0.168757... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.432357, 0.45709, 0.162583, 0.323898, 0.266642], [-0.100632, 0.22... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7108303010463715, "train_acc": 0.425, "val_loss": 0.688632071018219, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6511799991130829, "train_acc": 0.575, "val_loss": 0.7365465760231018, "val... |
56 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3204, "learning_rate": 0.054... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.33693,
0.073127,
0.234675,
0.212442,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.33693,
0.073127,
0.234675,
0.212442,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5092785358428955, "std": 1.0949969291687012}, "1": {"mean": 0.9683479070663452, "std": 0.928220272064209}, "2": {"mean": -1.109939694404602, "std": 1.0956476926803589}, "3": {"mean": -0.9533566832542419, "std": 0.7921427488327026}, "4": {"mean": 0.822066... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.33693, 0.073127, 0.234675, 0.212442, -0.319673], [0.41552, -0.07... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6825758814811707, "train_acc": 0.51, "val_loss": 0.706829309463501, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6439662873744965, "train_acc": 0.57, "val_loss": 0.6180030107498169, "val_... |
57 | {"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.84, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9775, "learning_rate": 0.06149980716800173, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.105868,
-0.908053,
0.465623,
0.081982,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.105868,
-0.908053,
0.465623,
0.081982,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.5881897807121277, "std": 1.7258625030517578}, "1": {"mean": -0.024589499458670616, "std": 1.2354768514633179}, "2": {"mean": -0.10350748896598816, "std": 0.901930570602417}, "3": {"mean": -0.3326476514339447, "std": 1.32939875125885}, "4": {"mean": -1.5... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.105868, -0.908053, 0.465623, 0.081982, -0.445721], [-0.142693, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.677131175994873, "train_acc": 0.555, "val_loss": 0.7848278880119324, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7688257098197937, "train_acc": 0.555, "val_loss": 0.6806222796440125, "va... |
58 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1256, "learning_rate": 0.065... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.587655,
0.047395,
0.640943,
0.266009,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.587655,
0.047395,
0.640943,
0.266009,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2762669324874878, "std": 1.5560208559036255}, "1": {"mean": 1.2750840187072754, "std": 1.7511625289916992}, "2": {"mean": -0.16540485620498657, "std": 1.670967936515808}, "3": {"mean": -2.9944190979003906, "std": 2.122344732284546}, "4": {"mean": 0.33811... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.587655, 0.047395, 0.640943, 0.266009, -0.056641], [0.619228, 0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6931505799293518, "train_acc": 0.475, "val_loss": 0.7020672559738159, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7305033206939697, "train_acc": 0.575, "val_loss": 0.6825695037841797, "v... |
59 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2699, "learning_rate": 0.011... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.051937,
-0.419708,
-0.085758,
0.047123... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.051937,
-0.419708,
-0.085758,
0.047123... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.22924724221229553, "std": 1.18491530418396}, "1": {"mean": 0.35137584805488586, "std": 1.0595650672912598}, "2": {"mean": 0.5272833108901978, "std": 1.0788946151733398}, "3": {"mean": 0.17152786254882812, "std": 1.389998435974121}, "4": {"mean": 1.185171... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.051937, -0.419708, -0.085758, 0.047123, 0.469463], [-0.526584, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7075985968112946, "train_acc": 0.445, "val_loss": 0.6923530697822571, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6981737315654755, "train_acc": 0.445, "val_loss": 0.6928198933601379, "v... |
60 | {"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8539, "learning_rate": 0.04139295371590475, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.061603,
-0.188714,
0.021802,
-0.124364,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.061603,
-0.188714,
0.021802,
-0.124364,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.11087431013584137, "std": 1.193840742111206}, "1": {"mean": 0.08844998478889465, "std": 1.254177212715149}, "2": {"mean": -1.6296905279159546, "std": 1.1980584859848022}, "3": {"mean": 0.09907089918851852, "std": 1.5088679790496826}, "4": {"mean": 0.013... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.061603, -0.188714, 0.021802, -0.124364, 0.59489], [-0.332294, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7128016948699951, "train_acc": 0.435, "val_loss": 0.6917135715484619, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6848540008068085, "train_acc": 0.565, "val_loss": 0.6900449395179749, "v... |
61 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2865, "learning_rate": 0.05576... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.352097,
0.49552,
0.104599,
-0.384018,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.352097,
0.49552,
0.104599,
-0.384018,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7011699676513672, "std": 1.5514254570007324}, "1": {"mean": 0.6880344748497009, "std": 1.194737434387207}, "2": {"mean": 0.3914850354194641, "std": 0.6028239130973816}, "3": {"mean": 2.2027862071990967, "std": 1.7924984693527222}, "4": {"mean": 1.2038187... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.352097, 0.49552, 0.104599, -0.384018, 0.214494], [-0.470438, 0.20... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.695389449596405, "train_acc": 0.485, "val_loss": 0.6854861378669739, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6725302934646606, "train_acc": 0.565, "val_loss": 0.55695641040802, "val_... |
62 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8161, "learning_rate": 0.06647341567784448, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.467269,
0.439421,
0.495523,
0.164957,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.467269,
0.439421,
0.495523,
0.164957,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6342564821243286, "std": 1.9564865827560425}, "1": {"mean": 1.0765026807785034, "std": 2.327104330062866}, "2": {"mean": 1.6602281332015991, "std": 2.26406192779541}, "3": {"mean": 0.15048323571681976, "std": 2.2295053005218506}, "4": {"mean": -2.3603613... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.467269, 0.439421, 0.495523, 0.164957, -0.764322], [-0.031352, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6932940483093262, "train_acc": 0.48, "val_loss": 0.7776040434837341, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6746383905410767, "train_acc": 0.59, "val_loss": 0.7097307443618774, "val... |
63 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7491, "learning_rate": 0.055... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.691413,
0.091308,
0.147967,
-0.006461,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.691413,
0.091308,
0.147967,
-0.006461,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.0099990367889404, "std": 1.6237642765045166}, "1": {"mean": -1.0975316762924194, "std": 1.604762077331543}, "2": {"mean": -4.026621341705322, "std": 2.375929355621338}, "3": {"mean": 0.7580869793891907, "std": 1.2728016376495361}, "4": {"mean": -0.468853... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.691413, 0.091308, 0.147967, -0.006461, 0.085402], [-0.207258, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6722637414932251, "train_acc": 0.59, "val_loss": 0.7880110144615173, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6867413818836212, "train_acc": 0.59, "val_loss": 0.7215028405189514, "val... |
64 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6650, "learning_rate": 0.0517... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.098567,
-0.456485,
0.212078,
0.073445... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.098567,
-0.456485,
0.212078,
0.073445... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.13448108732700348, "std": 1.0979946851730347}, "1": {"mean": 2.428156852722168, "std": 2.0364980697631836}, "2": {"mean": 0.7913519740104675, "std": 1.1711190938949585}, "3": {"mean": 1.1640758514404297, "std": 1.2611088752746582}, "4": {"mean": -2.6686... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.098567, -0.456485, 0.212078, 0.073445, 0.319242], [0.273487, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6905729174613953, "train_acc": 0.575, "val_loss": 0.7035711407661438, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6839344203472137, "train_acc": 0.575, "val_loss": 0.7085044980049133, "va... |
65 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8999, "learning_rate": 0.069... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.086606,
-0.745178,
0.208946,
-0.661639... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.086606,
-0.745178,
0.208946,
-0.661639... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.0095486640930176, "std": 2.47414231300354}, "1": {"mean": 2.143847942352295, "std": 1.3145478963851929}, "2": {"mean": 1.1237841844558716, "std": 1.4418199062347412}, "3": {"mean": 0.3587955832481384, "std": 0.8655439019203186}, "4": {"mean": 0.11418312... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.086606, -0.745178, 0.208946, -0.661639, -0.475381], [0.050472, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6791188716888428, "train_acc": 0.54, "val_loss": 0.8041025400161743, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6925423741340637, "train_acc": 0.575, "val_loss": 0.5718250870704651, "va... |
66 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1155, "learning_rate": 0.014526773120334367... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.358562,
0.413729,
-0.271629,
0.171053,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.358562,
0.413729,
-0.271629,
0.171053,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6284037232398987, "std": 1.309453010559082}, "1": {"mean": -0.19145448505878448, "std": 0.7989996671676636}, "2": {"mean": 0.7206987142562866, "std": 1.2605862617492676}, "3": {"mean": 1.0053350925445557, "std": 1.0861319303512573}, "4": {"mean": -0.3358... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.358562, 0.413729, -0.271629, 0.171053, -0.211025], [-0.134466, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881334483623505, "train_acc": 0.57, "val_loss": 0.7017878890037537, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6876879632472992, "train_acc": 0.57, "val_loss": 0.7064371705055237, "val... |
67 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4020, "learning_rate": 0.08076761257954843, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.785851,
-0.338681,
-0.189987,
-0.14692... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.785851,
-0.338681,
-0.189987,
-0.14692... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.626474380493164, "std": 2.4653849601745605}, "1": {"mean": -1.9949145317077637, "std": 1.425282597541809}, "2": {"mean": -2.5458827018737793, "std": 1.953773021697998}, "3": {"mean": -0.6163308620452881, "std": 1.7068724632263184}, "4": {"mean": -4.3826... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.785851, -0.338681, -0.189987, -0.146925, -0.516809], [0.308968, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6852020025253296, "train_acc": 0.475, "val_loss": 0.745395839214325, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6854563355445862, "train_acc": 0.595, "val_loss": 0.7845725417137146, "va... |
68 | {"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.6, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.094169318... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.125612,
0.141438,
0.071951,
0.239279,... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.125612,
0.141438,
0.071951,
0.239279,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.45532143115997314, "std": 0.6962224841117859}, "1": {"mean": 1.1692252159118652, "std": 1.2227282524108887}, "2": {"mean": -0.09014493227005005, "std": 0.913002073764801}, "3": {"mean": -0.06662864983081818, "std": 0.8777532577514648}, "4": {"mean": -2.5... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.125612, 0.141438, 0.071951, 0.239279, 0.071479], [-0.420969, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6742627620697021, "train_acc": 0.495, "val_loss": 0.9409890174865723, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6960695683956146, "train_acc": 0.605, "val_loss": 0.7179780006408691, "va... |
69 | {"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8736, "learning_rate": 0.080734967... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.217976,
0.431715,
0.308543,
0.421372,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.217976,
0.431715,
0.308543,
0.421372,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.1499440670013428, "std": 1.9679218530654907}, "1": {"mean": -2.803187131881714, "std": 2.392209768295288}, "2": {"mean": -0.6016564965248108, "std": 1.7588155269622803}, "3": {"mean": -0.6494296193122864, "std": 1.984462022781372}, "4": {"mean": -2.38586... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.217976, 0.431715, 0.308543, 0.421372, 0.350653], [-0.683391, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6832269728183746, "train_acc": 0.56, "val_loss": 0.7275028824806213, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845201253890991, "train_acc": 0.56, "val_loss": 0.7164404988288879, "val... |
70 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8766, "learning_rate": 0.01935... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.130813,
0.018161,
0.145038,
0.223846,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.130813,
0.018161,
0.145038,
0.223846,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3998711109161377, "std": 0.616710364818573}, "1": {"mean": 0.3604014813899994, "std": 1.1700323820114136}, "2": {"mean": -1.8953680992126465, "std": 1.3962512016296387}, "3": {"mean": 1.7784695625305176, "std": 1.4242357015609741}, "4": {"mean": 0.874279... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.130813, 0.018161, 0.145038, 0.223846, 0.06561], [0.42303, 0.1575... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6983074247837067, "train_acc": 0.455, "val_loss": 0.6879022121429443, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886558532714844, "train_acc": 0.545, "val_loss": 0.67488694190979, "val_... |
71 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3108, "learning_rate": 0.0681... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.012179,
-0.558082,
-0.156388,
-0.000688... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.012179,
-0.558082,
-0.156388,
-0.000688... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.0333831310272217, "std": 1.4328606128692627}, "1": {"mean": 1.9312443733215332, "std": 1.4563664197921753}, "2": {"mean": 1.314625859260559, "std": 2.025932788848877}, "3": {"mean": 2.07810640335083, "std": 1.8426761627197266}, "4": {"mean": -0.35516002... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.012179, -0.558082, -0.156388, -0.000688, -0.4473], [-0.168227, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6993144154548645, "train_acc": 0.47, "val_loss": 0.6744404435157776, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.687122642993927, "train_acc": 0.55, "val_loss": 0.6007417440414429, "val_a... |
72 | {"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1615, "learning_rate": 0.0797887000... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.12555,
0.089753,
0.572345,
0.09878,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.12555,
0.089753,
0.572345,
0.09878,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.5755701065063477, "std": 1.7718132734298706}, "1": {"mean": -2.1673808097839355, "std": 2.5629310607910156}, "2": {"mean": -1.7273993492126465, "std": 2.8355159759521484}, "3": {"mean": 0.12144455313682556, "std": 1.2697937488555908}, "4": {"mean": 1.330... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.12555, 0.089753, 0.572345, 0.09878, 0.505879], [0.165717, -0.5126... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6648014783859253, "train_acc": 0.605, "val_loss": 0.8909484148025513, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6679915487766266, "train_acc": 0.605, "val_loss": 0.7206993103027344, "v... |
73 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.42, "improved_accuracy": 0.9, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9035, "learning_rate": 0.062... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.685829,
0.489658,
-0.010075,
0.263904,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.685829,
0.489658,
-0.010075,
0.263904,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.253176212310791, "std": 2.008571147918701}, "1": {"mean": 0.6235765814781189, "std": 1.5160154104232788}, "2": {"mean": -0.05544652044773102, "std": 1.5410826206207275}, "3": {"mean": -1.1240484714508057, "std": 0.7396519780158997}, "4": {"mean": -0.9327... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.685829, 0.489658, -0.010075, 0.263904, -0.1061], [-0.417556, 0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806999444961548, "train_acc": 0.5, "val_loss": 0.8690631985664368, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.670614629983902, "train_acc": 0.59, "val_loss": 0.6111858487129211, "val_a... |
74 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.76, "improved_accuracy": 0.98, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2317, "learning_rate": 0.0782... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.084188,
-0.243121,
-0.232826,
-0.009002... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.084188,
-0.243121,
-0.232826,
-0.009002... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.7257366180419922, "std": 1.7514784336090088}, "1": {"mean": 2.499034881591797, "std": 2.3219754695892334}, "2": {"mean": -8.201804161071777, "std": 4.749008655548096}, "3": {"mean": -4.676260471343994, "std": 2.6733317375183105}, "4": {"mean": -0.297121... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.084188, -0.243121, -0.232826, -0.009002, -0.843966], [-0.447119, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917296648025513, "train_acc": 0.58, "val_loss": 0.7132246494293213, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6866738796234131, "train_acc": 0.58, "val_loss": 0.7040851712226868, "val... |
75 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.038871271727713465... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.588671,
0.076459,
0.02892,
0.077131,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.588671,
0.076459,
0.02892,
0.077131,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6811069846153259, "std": 1.2163102626800537}, "1": {"mean": -3.15805721282959, "std": 2.027919292449951}, "2": {"mean": 0.17205309867858887, "std": 1.734190821647644}, "3": {"mean": -1.9928271770477295, "std": 1.3718196153640747}, "4": {"mean": -2.485669... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.588671, 0.076459, 0.02892, 0.077131, 0.309534], [-0.312099, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886008083820343, "train_acc": 0.575, "val_loss": 0.7058846950531006, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6795614957809448, "train_acc": 0.575, "val_loss": 0.7094258666038513, "v... |
76 | {"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.92, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6008, "learning_rate": 0.05233751093130795, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.418711,
0.241628,
0.46607,
0.143076,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.418711,
0.241628,
0.46607,
0.143076,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5075325965881348, "std": 2.097409248352051}, "1": {"mean": 0.5400470495223999, "std": 2.704639196395874}, "2": {"mean": -1.0320249795913696, "std": 1.6819639205932617}, "3": {"mean": -2.968061923980713, "std": 1.7101718187332153}, "4": {"mean": 0.4350305... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.418711, 0.241628, 0.46607, 0.143076, -0.9274], [0.294837, -0.3894... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6703893542289734, "train_acc": 0.605, "val_loss": 0.8361131548881531, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.668380856513977, "train_acc": 0.605, "val_loss": 0.7313986420631409, "val... |
77 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4634, "learning_rate": 0.018804108780871603,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.189278,
-0.297661,
-0.003727,
0.06696... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 14
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.189278,
-0.297661,
-0.003727,
0.06696... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.9555264115333557, "std": 0.756299614906311}, "1": {"mean": 0.41766756772994995, "std": 0.9236060976982117}, "2": {"mean": 0.06824309378862381, "std": 1.0454639196395874}, "3": {"mean": 2.901653289794922, "std": 1.8810455799102783}, "4": {"mean": 0.42004... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 14, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.189278, -0.297661, -0.003727, 0.066961, -0.017821], [-0.452042,... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886848211288452, "train_acc": 0.57, "val_loss": 0.6948876976966858, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6889975965023041, "train_acc": 0.57, "val_loss": 0.6956157088279724, "val... |
78 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7058, "learning_rate": 0.0912... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.466242,
-0.339254,
-0.544686,
-0.99609... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.466242,
-0.339254,
-0.544686,
-0.99609... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -6.284129619598389, "std": 3.6602797508239746}, "1": {"mean": -1.927235722541809, "std": 3.4075334072113037}, "2": {"mean": -6.348911762237549, "std": 3.353369951248169}, "3": {"mean": -4.905713081359863, "std": 3.7216203212738037}, "4": {"mean": 0.6266055... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.466242, -0.339254, -0.544686, -0.996094, -0.842885], [-1.355296,... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7043435871601105, "train_acc": 0.465, "val_loss": 0.6845201253890991, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6927561163902283, "train_acc": 0.555, "val_loss": 0.6707412600517273, "v... |
79 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3720, "learning_rate": 0.08108720880513055,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.537583,
-0.327996,
0.475467,
0.660732... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.537583,
-0.327996,
0.475467,
0.660732... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.28186795115470886, "std": 3.565680503845215}, "1": {"mean": -4.2477874755859375, "std": 3.4023940563201904}, "2": {"mean": -0.8865730166435242, "std": 3.8750975131988525}, "3": {"mean": 0.4385722279548645, "std": 2.9827377796173096}, "4": {"mean": 4.061... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.537583, -0.327996, 0.475467, 0.660732, -0.400313], [-1.232624, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7002823054790497, "train_acc": 0.5, "val_loss": 0.7096408605575562, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6935814321041107, "train_acc": 0.57, "val_loss": 0.7054968476295471, "val_... |
80 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.82, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1469, "learning_rate": 0.05734450156595675, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.215215,
0.075736,
-0.186007,
0.363249,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.215215,
0.075736,
-0.186007,
0.363249,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3112160563468933, "std": 1.0429530143737793}, "1": {"mean": -0.34459388256073, "std": 2.2724969387054443}, "2": {"mean": 0.6682671308517456, "std": 1.3808611631393433}, "3": {"mean": 0.39139819145202637, "std": 2.32914137840271}, "4": {"mean": -2.4522140... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.215215, 0.075736, -0.186007, 0.363249, -0.32404], [-0.741116, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7117782533168793, "train_acc": 0.445, "val_loss": 0.67893385887146, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675488144159317, "train_acc": 0.555, "val_loss": 0.5867753028869629, "val_... |
81 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4426, "learning_rate": 0.04712606318248816,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.020805,
-0.46933,
0.094304,
0.186752,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.020805,
-0.46933,
0.094304,
0.186752,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.518705427646637, "std": 0.9548859000205994}, "1": {"mean": 0.6738702058792114, "std": 1.5783660411834717}, "2": {"mean": 0.203605517745018, "std": 0.7824907898902893}, "3": {"mean": 2.5980165004730225, "std": 1.804512619972229}, "4": {"mean": 1.51319313... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.020805, -0.46933, 0.094304, 0.186752, -0.352574], [-0.136431, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6831212043762207, "train_acc": 0.53, "val_loss": 0.7029184103012085, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6995921730995178, "train_acc": 0.55, "val_loss": 0.6766265630722046, "val... |
82 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9217, "learning_rate": 0.03413339280459434, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.342137,
-0.641508,
0.404894,
0.298224,... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.342137,
-0.641508,
0.404894,
0.298224,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.0015221356879919767, "std": 1.497241497039795}, "1": {"mean": -0.31693747639656067, "std": 1.7692636251449585}, "2": {"mean": -0.593062698841095, "std": 1.2420530319213867}, "3": {"mean": 1.4731062650680542, "std": 1.063833236694336}, "4": {"mean": -1.11... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.342137, -0.641508, 0.404894, 0.298224, -0.137363], [-0.780512, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6981420814990997, "train_acc": 0.47, "val_loss": 0.6809818744659424, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6850775182247162, "train_acc": 0.54, "val_loss": 0.6487857103347778, "val_... |
83 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1428, "learning_rate": 0.04... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.47988,
-0.130559,
-0.069582,
-0.162867... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.47988,
-0.130559,
-0.069582,
-0.162867... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3840652406215668, "std": 1.4317214488983154}, "1": {"mean": -0.7806565761566162, "std": 1.280126929283142}, "2": {"mean": 0.08494562655687332, "std": 1.5115150213241577}, "3": {"mean": -2.124189853668213, "std": 1.2460435628890991}, "4": {"mean": -0.1887... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.47988, -0.130559, -0.069582, -0.162867, 0.505161], [-0.200414, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7008263170719147, "train_acc": 0.45, "val_loss": 0.6811731457710266, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.689177930355072, "train_acc": 0.55, "val_loss": 0.654101550579071, "val_a... |
84 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3126, "learning_rate": 0.08469175679902498, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.55444,
-0.448818,
-0.391422,
0.260542,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.55444,
-0.448818,
-0.391422,
0.260542,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9954267740249634, "std": 1.9674488306045532}, "1": {"mean": -0.2598460018634796, "std": 2.477200508117676}, "2": {"mean": -2.6202311515808105, "std": 1.814288854598999}, "3": {"mean": 1.0698869228363037, "std": 1.4575530290603638}, "4": {"mean": -2.24326... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.55444, -0.448818, -0.391422, 0.260542, 0.756395], [0.726232, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6942070424556732, "train_acc": 0.495, "val_loss": 0.7922624349594116, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6908556222915649, "train_acc": 0.585, "val_loss": 0.6954600811004639, "v... |
85 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5994, "learning_rate": 0.02766384685... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.477459,
0.464781,
-0.039357,
0.418196,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.477459,
0.464781,
-0.039357,
0.418196,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.339086890220642, "std": 1.982715368270874}, "1": {"mean": 0.621506929397583, "std": 1.5367916822433472}, "2": {"mean": -0.48590901494026184, "std": 1.777601718902588}, "3": {"mean": 0.154339000582695, "std": 1.545383334159851}, "4": {"mean": -0.137209728... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.477459, 0.464781, -0.039357, 0.418196, -0.604145], [-0.390479, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6743816137313843, "train_acc": 0.6, "val_loss": 0.7469232082366943, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6813606321811676, "train_acc": 0.6, "val_loss": 0.7411330342292786, "val_a... |
86 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.82, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1800, "learning_rate": 0.0521... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.547554,
-0.014793,
-0.080972,
-0.48486... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 13
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.547554,
-0.014793,
-0.080972,
-0.48486... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.37966102361679077, "std": 1.6524431705474854}, "1": {"mean": -0.5989348888397217, "std": 1.2242215871810913}, "2": {"mean": -2.813967704772949, "std": 2.187633991241455}, "3": {"mean": 2.00930118560791, "std": 1.58377206325531}, "4": {"mean": 0.099198393... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 13, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.547554, -0.014793, -0.080972, -0.484867, 0.352862], [-0.000311, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7150450944900513, "train_acc": 0.425, "val_loss": 0.6933067440986633, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6888604164123535, "train_acc": 0.505, "val_loss": 0.7073807716369629, "va... |
87 | {"target_pattern": "has_majority", "degraded_accuracy": 0.62, "improved_accuracy": 0.78, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1094, "learning_rate": 0.09056324... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.43144,
-0.65695,
-0.576878,
0.342,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.43144,
-0.65695,
-0.576878,
0.342,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.8696019649505615, "std": 1.9056763648986816}, "1": {"mean": -3.31587553024292, "std": 2.6713550090789795}, "2": {"mean": 1.2313909530639648, "std": 2.280461311340332}, "3": {"mean": -3.3095035552978516, "std": 2.4151699542999268}, "4": {"mean": -2.80178... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.43144, -0.65695, -0.576878, 0.342, -0.555727], [-0.202762, -0.697... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.696525514125824, "train_acc": 0.57, "val_loss": 0.6902653574943542, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7728622257709503, "train_acc": 0.57, "val_loss": 0.6821215748786926, "val_... |
88 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.74, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6244, "learning_rate": 0.09711533097042045, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.530622,
0.144276,
0.062724,
0.055258,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.530622,
0.144276,
0.062724,
0.055258,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.9266499280929565, "std": 1.4543609619140625}, "1": {"mean": -0.7022098302841187, "std": 1.1881632804870605}, "2": {"mean": -0.1360514909029007, "std": 1.3417253494262695}, "3": {"mean": 1.2714440822601318, "std": 1.5913996696472168}, "4": {"mean": 2.721... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.530622, 0.144276, 0.062724, 0.055258, -0.488139], [-0.089222, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881031095981598, "train_acc": 0.5, "val_loss": 0.9280892014503479, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7420838177204132, "train_acc": 0.58, "val_loss": 0.7070352435112, "val_acc... |
89 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1608, "learning_rate": 0.09043166161661809, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.377197,
-0.164534,
0.811792,
0.717128,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.377197,
-0.164534,
0.811792,
0.717128,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.55064058303833, "std": 2.255312919616699}, "1": {"mean": 5.152363300323486, "std": 3.178520679473877}, "2": {"mean": -1.6401326656341553, "std": 2.9252171516418457}, "3": {"mean": 1.551487684249878, "std": 3.323932647705078}, "4": {"mean": 1.722903132438... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.377197, -0.164534, 0.811792, 0.717128, -0.577498], [-0.039316, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6929192245006561, "train_acc": 0.46, "val_loss": 0.7452118396759033, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6808984577655792, "train_acc": 0.58, "val_loss": 0.7117807269096375, "val... |
90 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8051, "learning_rate": 0.073... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.355003,
-0.613328,
-0.224255,
-0.13048... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.355003,
-0.613328,
-0.224255,
-0.13048... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.73923921585083, "std": 1.7840334177017212}, "1": {"mean": -1.2683907747268677, "std": 1.2550545930862427}, "2": {"mean": 0.33016258478164673, "std": 1.49253249168396}, "3": {"mean": 2.399702548980713, "std": 1.8587249517440796}, "4": {"mean": 0.59291946... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.355003, -0.613328, -0.224255, -0.130486, 0.033946], [-0.052, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6847454607486725, "train_acc": 0.57, "val_loss": 0.7012237310409546, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826867163181305, "train_acc": 0.57, "val_loss": 0.6949993968009949, "val... |
91 | {"target_pattern": "has_majority", "degraded_accuracy": 0.42, "improved_accuracy": 0.72, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5418, "learning_rate": 0.05099409093006631, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.467941,
-0.172815,
0.173947,
0.539305,... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.467941,
-0.172815,
0.173947,
0.539305,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5342338681221008, "std": 1.5014110803604126}, "1": {"mean": -0.7901759743690491, "std": 1.351900577545166}, "2": {"mean": 0.30237266421318054, "std": 0.9424012899398804}, "3": {"mean": 0.30718621611595154, "std": 0.7513357996940613}, "4": {"mean": -0.172... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.467941, -0.172815, 0.173947, 0.539305, 0.079664], [0.346194, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6923074126243591, "train_acc": 0.445, "val_loss": 0.7466374039649963, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6647975444793701, "train_acc": 0.595, "val_loss": 0.8010376691818237, "v... |
92 | {"target_pattern": "ends_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.98, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9115, "learning_rate": 0.01570519040... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.154399,
-0.322811,
0.550123,
0.16942,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.154399,
-0.322811,
0.550123,
0.16942,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.2461411952972412, "std": 1.4846117496490479}, "1": {"mean": 1.597463607788086, "std": 1.631596565246582}, "2": {"mean": 0.37782716751098633, "std": 1.199451208114624}, "3": {"mean": 1.1174514293670654, "std": 1.410618543624878}, "4": {"mean": 0.256864666... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.154399, -0.322811, 0.550123, 0.16942, 0.426355], [-0.459396, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6835366785526276, "train_acc": 0.57, "val_loss": 0.697797417640686, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6832692325115204, "train_acc": 0.57, "val_loss": 0.6944378018379211, "val_... |
93 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.38, "improved_accuracy": 0.98, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1085, "learning_rate": 0.06410727418330134, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.554624,
0.021717,
-0.481689,
0.565039,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 9
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.554624,
0.021717,
-0.481689,
0.565039,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.5905061364173889, "std": 2.0598554611206055}, "1": {"mean": -0.7917448282241821, "std": 1.222398042678833}, "2": {"mean": 0.614404022693634, "std": 1.7431824207305908}, "3": {"mean": -0.05364731699228287, "std": 1.3102823495864868}, "4": {"mean": -2.526... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 9, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.554624, 0.021717, -0.481689, 0.565039, 0.08959], [-0.120525, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856349110603333, "train_acc": 0.585, "val_loss": 0.7578534483909607, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724694073200226, "train_acc": 0.585, "val_loss": 0.7113565802574158, "v... |
94 | {"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1107, "learning_rate": 0.080001739... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.412889,
-0.232673,
0.157113,
0.116802,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 15
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.412889,
-0.232673,
0.157113,
0.116802,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.78892183303833, "std": 2.7838354110717773}, "1": {"mean": 1.6376558542251587, "std": 3.165706157684326}, "2": {"mean": 1.6248739957809448, "std": 3.0183305740356445}, "3": {"mean": 0.44084617495536804, "std": 2.629272222518921}, "4": {"mean": 2.351119518... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 15, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.412889, -0.232673, 0.157113, 0.116802, -0.236879], [1.033009, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6998321712017059, "train_acc": 0.48, "val_loss": 1.5068435668945312, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 1.1039645969867706, "train_acc": 0.56, "val_loss": 0.6907231211662292, "val... |
95 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2254, "learning_rate": 0.036... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.576357,
-0.201335,
0.422411,
0.471776,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.576357,
-0.201335,
0.422411,
0.471776,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.486581802368164, "std": 1.7144511938095093}, "1": {"mean": 1.2216874361038208, "std": 1.787670373916626}, "2": {"mean": 0.09216923266649246, "std": 0.9231284260749817}, "3": {"mean": 2.2463061809539795, "std": 1.763749361038208}, "4": {"mean": 0.91690927... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.576357, -0.201335, 0.422411, 0.471776, -0.548191], [0.630923, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7162191271781921, "train_acc": 0.43, "val_loss": 0.6927897930145264, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6918187141418457, "train_acc": 0.57, "val_loss": 0.6922401189804077, "val... |
96 | {"target_pattern": "alternating", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4326, "learning_rate": 0.07882643409372511, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.213963,
0.574462,
-0.008193,
0.80319,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 15
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.213963,
0.574462,
-0.008193,
0.80319,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 3.0658199787139893, "std": 2.417330265045166}, "1": {"mean": -1.4679675102233887, "std": 2.9186110496520996}, "2": {"mean": -0.3348788917064667, "std": 1.7526767253875732}, "3": {"mean": -1.8285595178604126, "std": 1.1720315217971802}, "4": {"mean": -2.399... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 15, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.213963, 0.574462, -0.008193, 0.80319, 0.395611], [0.952446, -1.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6759651005268097, "train_acc": 0.59, "val_loss": 0.776897132396698, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6554639041423798, "train_acc": 0.59, "val_loss": 0.6374348998069763, "val_... |
97 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6191, "learning_rate": 0.014... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.192928,
-0.243705,
0.300768,
-0.324022,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.192928,
-0.243705,
0.300768,
-0.324022,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.03972181677818298, "std": 1.5630509853363037}, "1": {"mean": 0.6530609726905823, "std": 1.2743206024169922}, "2": {"mean": 1.9050899744033813, "std": 1.470663070678711}, "3": {"mean": 2.575613498687744, "std": 1.8704631328582764}, "4": {"mean": 0.7547371... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.192928, -0.243705, 0.300768, -0.324022, 0.534476], [0.565372, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684948593378067, "train_acc": 0.56, "val_loss": 0.68985915184021, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831825375556946, "train_acc": 0.56, "val_loss": 0.6873763799667358, "val_ac... |
98 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4632, "learning_rate": 0.04874646437... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.524351,
0.178077,
0.002265,
-0.238868,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.524351,
0.178077,
0.002265,
-0.238868,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7306570410728455, "std": 1.3874800205230713}, "1": {"mean": 0.3781132996082306, "std": 1.234741449356079}, "2": {"mean": 0.2456165999174118, "std": 0.9038605093955994}, "3": {"mean": -0.13616198301315308, "std": 1.3323134183883667}, "4": {"mean": 1.40403... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.524351, 0.178077, 0.002265, -0.238868, 0.218234], [-0.055629, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6786315441131592, "train_acc": 0.57, "val_loss": 0.7240036129951477, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874456107616425, "train_acc": 0.57, "val_loss": 0.689192533493042, "val_... |
99 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9370, "learning_rate": 0.07753878097600657,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.291018,
0.359311,
-0.135129,
-0.00694,... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 10
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.291018,
0.359311,
-0.135129,
-0.00694,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.49896863102912903, "std": 0.9759377837181091}, "1": {"mean": 1.7450858354568481, "std": 1.9404828548431396}, "2": {"mean": -1.2872662544250488, "std": 1.4099489450454712}, "3": {"mean": 1.3727444410324097, "std": 1.7859174013137817}, "4": {"mean": 1.5960... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 10, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.291018, 0.359311, -0.135129, -0.00694, -0.095875], [-0.583192, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7018844783306122, "train_acc": 0.49, "val_loss": 0.7121871709823608, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.679632842540741, "train_acc": 0.58, "val_loss": 0.7013024687767029, "val_... |
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