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training_config.yaml

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+model:
+  n_layer: 2
+  d_model: 3072
+  n_ctx: 512
+  d_head: 16
+  d_mlp: 12288
+  vocab_size: 4096
+  use_rms_norm: true
+  tie_embeddings: false
+  use_positional_embeddings: false
+  use_bigram_table: false
+  use_attention_sinks: true
+  activation: gelu
+  dropout: 0.0
+  use_bias: true
+  use_flash_attention: true
+sparsity:
+  enable_weight_sparsity: true
+  target_l0_fraction: 0.005
+  sparsity_anneal_start_fraction: 0.01
+  sparsity_anneal_end_fraction: 0.5
+  anneal_type: linear
+  min_weights_per_neuron: 4
+  enable_activation_sparsity: true
+  activation_topk_fraction: 0.5
+  activation_sparsity_locations: attn_q,attn_k,attn_v,attn_out,mlp_neuron,mlp_out
+  activation_topk_mode: batch
+  mlp_neuron_pre_activation: true
+  activation_topk_annealing: linear
+  activation_topk_anneal_start_fraction: 0.01
+  activation_topk_anneal_end_fraction: 0.5
+optimizer:
+  optimizer_type: adamw
+  learning_rate: 0.001
+  beta1: 0.9
+  beta2: 0.95
+  weight_decay: 0.001
+  eps: 0.1
+  enable_grad_clip: true
+  grad_clip_rms: 1.0
+  warmup_fraction: 0.01
+  enable_lr_decay: true
+  min_lr_fraction: 0.0
+  lr_decay_end_fraction: 1.0
+  use_sharkfin_schedule: true
+training:
+  dataset_name: jacobcd52/simplestories-tokenized
+  dataset_split: train
+  text_column: story
+  tokenizer_name: SimpleStories/SimpleStories-1.25M
+  total_tokens: 1000000000
+  batch_size: 32
+  gradient_accumulation_steps: 1
+  mixed_precision: bf16
+  checkpoint_dir: checkpoints/ablation_pretraining/pgd_d3072
+  checkpoint_every_n_steps: 0
+  keep_n_checkpoints: 2
+  log_every_n_steps: 10
+  log_gradients_every_n_steps: 100
+  log_weights_every_n_steps: 100
+  log_sparsity_every_n_steps: 100
+  eval_every_n_steps: 100
+  val_split: test
+  val_holdout_fraction: 0.01
+  val_max_batches: 20
+  wandb_project: nodesparse_adv_pretraining
+  wandb_run_name: less_topk
+  wandb_entity: null
+  use_wandb: true
+  seed: 0
+  hf_repo: asher577/less_topk
+  num_workers: 8
+  resume_from_checkpoint: null
+  use_torch_compile: false
+  torch_compile_mode: default
+  torch_compile_backend: inductor
+ablation:
+  ci_fn_type: global_reverse_residual
+  d_resid_ci_fn: 1024
+  reader_hidden_dims: 1024,1024
+  use_attn_transitions: false
+  attn_n_heads: 4
+  attn_max_len: 2048
+  ci_targets: attn_q,attn_k,attn_v,attn_out,mlp_pre,mlp_out
+  ablation_mode: pgd
+  stochastic_n_bins: 10
+  pgd_init: random
+  pgd_lr: 0.2
+  pgd_n_steps: 2
+  pgd_use_sign_grad: true
+  pgd_outer_lr: 0.0
+  minimality_coeff: 8.0e-06
+  minimality_coeff_final_frac: 1.0
+  minimality_coeff_annealing: true
+  minimality_coeff_anneal_start_frac: 0.01
+  minimality_coeff_anneal_end_frac: 0.7
+  minimality_coeff_anneal_type: linear
+  minimality_pnorm: 2.0
+  minimality_eps: 5.0e-07
+  minimality_beta: 0.6
+  minimality_p_anneal_start_frac: 0.01
+  minimality_p_anneal_final_p: 0.5
+  minimality_p_anneal_end_frac: 0.5
+  initial_ci: 1.0
+  minimality_warmup_frac: 0.02
+  ci_learning_rate: null