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  1. dandy-serenity-43/hyperparameters.yaml +78 -0
  2. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_10235904.pt +3 -0
  3. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_102395904.pt +3 -0
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  38. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_230395904.pt +3 -0
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  43. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_250875904.pt +3 -0
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  48. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_266235904_log_feature_sparsity.pt +3 -0
  49. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_271355904.pt +3 -0
  50. dandy-serenity-43/sparse_autoencoder_gemma-2b-it_blocks.7.hook_resid_pre_s16384_276475904.pt +3 -0
dandy-serenity-43/hyperparameters.yaml ADDED
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+ activation_function: relu
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ b_dec_init_method: zeros
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+ cached_activations_path: null
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+ checkpoint_path: ../outputs/checkpoints
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+ clip_grad_norm: false
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+ context_size: 1024
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+ custom_loss: null
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+ d_in: 2048
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+ d_out: null
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+ dataset: Skylion007/openwebtext
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+ dense_loss_coefficient: 0
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+ device: cuda
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+ different_output: false
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+ dtype: float32
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+ epsilon_l0_approx: 0.2
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+ eval_frequency: 500
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+ expansion_factor: 8
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+ feature_reinit_scale: 0.2
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+ feature_resampling_method: null
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+ fine_tune_dataset: false
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+ finetuning_steps: !!python/tuple
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+ - 1000
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+ flatten_activations_over_layer: false
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+ flatten_activations_over_layer_output: false
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+ from_pretrained_path: null
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+ hook_point: blocks.7.hook_resid_pre
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+ hook_point_head_index: null
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+ hook_point_head_index_output: null
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+ hook_point_layer: 7
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+ hook_point_layer_output: null
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+ hook_point_output: null
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+ initial_decoder_norm: 0.1
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+ initialise_encoder_to_decoder_transpose: false
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+ is_dataset_tokenized: false
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+ l0_coefficient: 7.0e-05
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+ l0_warmup: false
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+ l0_warmup_steps: 1000
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+ l1_coefficient: 0
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+ l1_warmup: false
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+ l1_warmup_steps: 1000
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+ log_to_wandb: true
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+ loop_dataset: false
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+ lr: 0.0004
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+ lr_scheduler_name: constant
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+ lr_warm_up_steps: 500
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+ max_resample_step: 100000
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+ max_sparsity_target: 1
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+ min_sparsity_for_resample: 0
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+ min_sparsity_target: 1.0e-05
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+ model_name: gemma-2b-it
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+ mse_loss_coefficient: 1
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+ mse_loss_type: centered
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+ multiple_runs: false
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+ n_batches_in_store_buffer: 128
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+ n_checkpoints: 160
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+ n_running_sparsity: 300
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+ n_starting_steps: null
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+ normalise_initial_decoder_weights: false
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+ normalise_w_dec: true
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+ remove_bos_tokens: false
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+ resample_batches: 128
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+ resample_frequency: 25000
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+ scale_input_norm: false
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+ seed: 42
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+ sparse_loss_coefficient: 1.0e-06
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+ sparsity_log_frequency: 5000
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+ store_batch_size: 2
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+ subtract_b_dec_from_inputs: false
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+ topk_amount: 10
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+ total_training_steps: 200000
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+ train_batch_size: 4096
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+ use_cached_activations: false
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+ use_gated_sparse_autoencoder: false
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+ wandb_log_frequency: 10
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+ wandb_project: test_gemma_2b
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+ weight_l1_by_decoder_norms: false
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