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2000, + "num_eval_pairs": 50, + "seed": 4, + "num_workers": 23, + "device": "cuda", + "output_path": "phase1_ablation/L3_seed4", + "freeze_embeddings": false, + "one_hot": false, + "no_norm": false, + "independent_truth": true, + "vocab_size": 1025, + "seq_len": 3 +} \ No newline at end of file diff --git a/phase1_ablation/run_fulltrained.sh b/phase1_ablation/run_fulltrained.sh new file mode 100644 index 0000000000000000000000000000000000000000..9cb3a7da4ca4f5dd41ed5b2e5460d503fd501fbc --- /dev/null +++ b/phase1_ablation/run_fulltrained.sh @@ -0,0 +1,43 @@ +#!/bin/bash +## Phase 1.3 — Fully-trained model ablation (independent truth) +set -e +cd "$(dirname "$0")/.." + +PY="conda run -n blackboxnlp --no-capture-output python" +OUT="phase1_ablation" + +COMMON="--N 512 --d_model 256 --num_heads 1 \ + --p_train 0.99 --lr 1e-3 --weight_decay 1e-5 --batch_size 128 \ + --num_steps 50000 --save_interval 1000 \ + --early_save_interval 200 --early_save_steps 1000 \ + --print_interval 1000 --use_rms \ + --independent_truth" + +# ── 1. Train: 1 layer × 5 seeds ── +for seed in 0 1 2 3 4; do + out="$OUT/L1_seed${seed}" + echo "" + echo "===== Training L=1 ablated seed=${seed} -> ${out} =====" + $PY train_model.py $COMMON --num_layers 1 --seed $seed --output_path "$out" +done + +# ── 2. Train: 3 layers × 5 seeds ── +for seed in 0 1 2 3 4; do + out="$OUT/L3_seed${seed}" + echo "" + echo "===== Training L=3 ablated seed=${seed} -> ${out} =====" + $PY train_model.py $COMMON --num_layers 3 --seed $seed --output_path "$out" +done + +# ── 3. Analyze each run ── +for layers in 1 3; do + for seed in 0 1 2 3 4; do + ckpt="$OUT/L${layers}_seed${seed}/checkpoints/ckpt_step50000.pt" + echo "" + echo "===== Analyzing L=${layers} ablated seed=${seed} =====" + $PY analyze_model.py --checkpoint "$ckpt" --all + done +done + +echo "" +echo "===== ALL DONE =====" diff --git a/phase1_ablation/run_toy.sh b/phase1_ablation/run_toy.sh new file mode 100644 index 0000000000000000000000000000000000000000..6639d170d1171ba566dfcc427ed0e9c421418ad3 --- /dev/null +++ b/phase1_ablation/run_toy.sh @@ -0,0 +1,27 @@ +#!/bin/bash +## Phase 1.2 — Toy model ablation (independent truth) +set -e +cd "$(dirname "$0")/.." + +PY="conda run -n blackboxnlp --no-capture-output python" +OUT="phase1_ablation" + +for seed in 0 1 2 3 4; do + out="$OUT/toy_seed${seed}" + echo "" + echo "===== Training toy ablated seed=${seed} -> ${out} =====" + $PY train_toy.py --one_hot --freeze_embeddings \ + --independent_truth \ + --num_steps 2000 --seed $seed --save_interval 50 --print_interval 100 \ + --output_path "$out" +done + +for seed in 0 1 2 3 4; do + echo "" + echo "===== Analyzing toy ablated seed=${seed} =====" + $PY analyze_toy.py \ + --checkpoint "$OUT/toy_seed${seed}/checkpoints/ckpt_step2000.pt" --all +done + +echo "" +echo "===== ALL DONE =====" diff --git a/phase1_ablation/toy_rho08_seed0/analysis/attention_step2000.png b/phase1_ablation/toy_rho08_seed0/analysis/attention_step2000.png new file mode 100644 index 0000000000000000000000000000000000000000..17b5cd96241f7597e04945f399e05f8c432cee4e --- /dev/null +++ b/phase1_ablation/toy_rho08_seed0/analysis/attention_step2000.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28b957ec91ef31bd2d170b6a48cb498796e74dc7a37adf230924706c20c43cce +size 7325 diff --git a/phase1_ablation/toy_rho08_seed0/analysis/cosine_similarity.json b/phase1_ablation/toy_rho08_seed0/analysis/cosine_similarity.json new file mode 100644 index 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