sae_phi-3_mini_4k_ins_blocks_0_hook_mlp_out

Sparse Autoencoder Trained on "NeelNanda/c4-code-20k" Data

HookPoint: blocks.0.hook_mlp_out_98304:v0 Layer: 0

Library SAE_Lens

Config:

act_store_device:"cuda" activation_fn:"relu" activation_fn_kwargs: adam_beta1:0.9 adam_beta2:0.999 apply_b_dec_to_input:false architecture:"standard" autocast:false autocast_lm:false b_dec_init_method:"zeros" cached_activations_path:null checkpoint_path:"checkpoints/fsu6y37f" compile_llm:false compile_sae:false context_size:512 d_in:3,072 d_sae:98,304 dataset_path:"NeelNanda/c4-code-20k" dataset_trust_remote_code:true dead_feature_threshold:0.0001 dead_feature_window:1,000 decoder_heuristic_init:true decoder_orthogonal_init:false device:"cuda" dtype:"float32" eval_batch_size_prompts:null eval_every_n_wandb_logs:20 expansion_factor:32 feature_sampling_window:2,000 finetuning_method:null finetuning_tokens:0 from_pretrained_path:null hook_eval:"NOT_IN_USE" hook_head_index:null hook_layer:0 hook_name:"blocks.0.hook_mlp_out" init_encoder_as_decoder_transpose:true is_dataset_tokenized:false l1_coefficient:8 l1_warm_up_steps:6,000 llm_compilation_mode:null log_activations_store_to_wandb:false log_optimizer_state_to_wandb:false log_to_wandb:true lp_norm:1 lr:0.00005 lr_decay_steps:24,000 lr_end:0.000005 lr_scheduler_name:"constant" lr_warm_up_steps:0 model_class_name:"HookedTransformer" model_from_pretrained_kwargs:model_kwargs: model_name:"microsoft/Phi-3-mini-4k-instruct" mse_loss_normalization:null n_batches_in_buffer:64 n_checkpoints:0 n_eval_batches:10 n_restart_cycles:1 noise_scale:0 normalize_activations:"expected_average_only_in" normalize_sae_decoder:false prepend_bos:true resume:false run_name:"98304-L1-8-LR-5e-05-Tokens-2.458e+08" sae_compilation_mode:null sae_lens_training_version:"3.14.0" sae_lens_version:"3.14.0" scale_sparsity_penalty_by_decoder_norm:true seed:42 store_batch_size_prompts:16 streaming:true tokens_per_buffer:67,108,864 train_batch_size_tokens:2,048 training_tokens:245,760,000 use_cached_activations:false use_ghost_grads:false verbose:true wandb_entity:null wandb_id:null wandb_log_frequency:30 wandb_project:"phi3-mini-sae"

Results: details/current_l1_coefficient:8 details/current_learning_rate:0 details/n_training_tokens:245,760,000 losses/auxiliary_reconstruction_loss:0 losses/ghost_grad_loss:0 losses/l1_loss:46.398345947265625 losses/mse_loss:50.83685302734375 losses/overall_loss:422.0236206054687 metrics/ce_loss_score:0.993279762405592 metrics/ce_loss_with_ablation:1.3571408987045288 metrics/ce_loss_with_sae:1.1727865934371948 metrics/ce_loss_without_sae:1.171539306640625 metrics/explained_variance:0.9660131335258484 metrics/explained_variance_std:0.02445772849023342 metrics/l0:19.4072265625 metrics/l2_norm_in:54.58721160888672 metrics/l2_norm_out:1.9406952857971191 metrics/l2_ratio:0.03532848507165909 metrics/mean_log10_feature_sparsity:-7.757194519042969

Link to wandb Report: https://api.wandb.ai/links/kdt/jhxn4aup