| { |
| "top_k_nodes": 36, |
| "max_blocks_per_kind": 9, |
| "nodes": [ |
| "MLP 0", |
| "MLP 16", |
| "MLP 11", |
| "MLP 4", |
| "MLP 35", |
| "MLP 17", |
| "MLP 12", |
| "MLP 9", |
| "A16.2", |
| "A14.13", |
| "A0.14", |
| "MLP 18", |
| "A0.13", |
| "A17.8", |
| "A30.12", |
| "A17.1", |
| "A19.4", |
| "A13.10", |
| "A14.14", |
| "A18.1", |
| "A20.4" |
| ], |
| "top_k_blocks": { |
| "attn": [ |
| 0, |
| 6, |
| 9, |
| 11, |
| 13, |
| 14, |
| 16, |
| 17, |
| 18, |
| 19, |
| 20, |
| 30 |
| ], |
| "mlp": [ |
| 0, |
| 2, |
| 3, |
| 4, |
| 5, |
| 6, |
| 9, |
| 11, |
| 12, |
| 13, |
| 14, |
| 15, |
| 16, |
| 17, |
| 18, |
| 22, |
| 26, |
| 28, |
| 35 |
| ] |
| }, |
| "E": { |
| "blocks": { |
| "attn": [ |
| 0, |
| 13, |
| 14, |
| 16, |
| 17, |
| 18, |
| 19, |
| 20, |
| 30 |
| ], |
| "mlp": [ |
| 0, |
| 4, |
| 9, |
| 11, |
| 12, |
| 16, |
| 17, |
| 18, |
| 35 |
| ] |
| }, |
| "modules": [ |
| "model.layers.0.self_attn.q_proj", |
| "model.layers.0.self_attn.k_proj", |
| "model.layers.0.self_attn.v_proj", |
| "model.layers.0.self_attn.o_proj", |
| "model.layers.13.self_attn.q_proj", |
| "model.layers.13.self_attn.k_proj", |
| "model.layers.13.self_attn.v_proj", |
| "model.layers.13.self_attn.o_proj", |
| "model.layers.14.self_attn.q_proj", |
| "model.layers.14.self_attn.k_proj", |
| "model.layers.14.self_attn.v_proj", |
| "model.layers.14.self_attn.o_proj", |
| "model.layers.16.self_attn.q_proj", |
| "model.layers.16.self_attn.k_proj", |
| "model.layers.16.self_attn.v_proj", |
| "model.layers.16.self_attn.o_proj", |
| "model.layers.17.self_attn.q_proj", |
| "model.layers.17.self_attn.k_proj", |
| "model.layers.17.self_attn.v_proj", |
| "model.layers.17.self_attn.o_proj", |
| "model.layers.18.self_attn.q_proj", |
| "model.layers.18.self_attn.k_proj", |
| "model.layers.18.self_attn.v_proj", |
| "model.layers.18.self_attn.o_proj", |
| "model.layers.19.self_attn.q_proj", |
| "model.layers.19.self_attn.k_proj", |
| "model.layers.19.self_attn.v_proj", |
| "model.layers.19.self_attn.o_proj", |
| "model.layers.20.self_attn.q_proj", |
| "model.layers.20.self_attn.k_proj", |
| "model.layers.20.self_attn.v_proj", |
| "model.layers.20.self_attn.o_proj", |
| "model.layers.30.self_attn.q_proj", |
| "model.layers.30.self_attn.k_proj", |
| "model.layers.30.self_attn.v_proj", |
| "model.layers.30.self_attn.o_proj", |
| "model.layers.0.mlp.gate_proj", |
| "model.layers.0.mlp.up_proj", |
| "model.layers.0.mlp.down_proj", |
| "model.layers.4.mlp.gate_proj", |
| "model.layers.4.mlp.up_proj", |
| "model.layers.4.mlp.down_proj", |
| "model.layers.9.mlp.gate_proj", |
| "model.layers.9.mlp.up_proj", |
| "model.layers.9.mlp.down_proj", |
| "model.layers.11.mlp.gate_proj", |
| "model.layers.11.mlp.up_proj", |
| "model.layers.11.mlp.down_proj", |
| "model.layers.12.mlp.gate_proj", |
| "model.layers.12.mlp.up_proj", |
| "model.layers.12.mlp.down_proj", |
| "model.layers.16.mlp.gate_proj", |
| "model.layers.16.mlp.up_proj", |
| "model.layers.16.mlp.down_proj", |
| "model.layers.17.mlp.gate_proj", |
| "model.layers.17.mlp.up_proj", |
| "model.layers.17.mlp.down_proj", |
| "model.layers.18.mlp.gate_proj", |
| "model.layers.18.mlp.up_proj", |
| "model.layers.18.mlp.down_proj", |
| "model.layers.35.mlp.gate_proj", |
| "model.layers.35.mlp.up_proj", |
| "model.layers.35.mlp.down_proj" |
| ] |
| }, |
| "R": { |
| "blocks": { |
| "attn": [ |
| 5, |
| 6, |
| 8, |
| 9, |
| 10, |
| 28, |
| 29, |
| 32, |
| 33 |
| ], |
| "mlp": [ |
| 1, |
| 3, |
| 6, |
| 7, |
| 8, |
| 14, |
| 25, |
| 28, |
| 31 |
| ] |
| }, |
| "modules": [ |
| "model.layers.5.self_attn.q_proj", |
| "model.layers.5.self_attn.k_proj", |
| "model.layers.5.self_attn.v_proj", |
| "model.layers.5.self_attn.o_proj", |
| "model.layers.6.self_attn.q_proj", |
| "model.layers.6.self_attn.k_proj", |
| "model.layers.6.self_attn.v_proj", |
| "model.layers.6.self_attn.o_proj", |
| "model.layers.8.self_attn.q_proj", |
| "model.layers.8.self_attn.k_proj", |
| "model.layers.8.self_attn.v_proj", |
| "model.layers.8.self_attn.o_proj", |
| "model.layers.9.self_attn.q_proj", |
| "model.layers.9.self_attn.k_proj", |
| "model.layers.9.self_attn.v_proj", |
| "model.layers.9.self_attn.o_proj", |
| "model.layers.10.self_attn.q_proj", |
| "model.layers.10.self_attn.k_proj", |
| "model.layers.10.self_attn.v_proj", |
| "model.layers.10.self_attn.o_proj", |
| "model.layers.28.self_attn.q_proj", |
| "model.layers.28.self_attn.k_proj", |
| "model.layers.28.self_attn.v_proj", |
| "model.layers.28.self_attn.o_proj", |
| "model.layers.29.self_attn.q_proj", |
| "model.layers.29.self_attn.k_proj", |
| "model.layers.29.self_attn.v_proj", |
| "model.layers.29.self_attn.o_proj", |
| "model.layers.32.self_attn.q_proj", |
| "model.layers.32.self_attn.k_proj", |
| "model.layers.32.self_attn.v_proj", |
| "model.layers.32.self_attn.o_proj", |
| "model.layers.33.self_attn.q_proj", |
| "model.layers.33.self_attn.k_proj", |
| "model.layers.33.self_attn.v_proj", |
| "model.layers.33.self_attn.o_proj", |
| "model.layers.1.mlp.gate_proj", |
| "model.layers.1.mlp.up_proj", |
| "model.layers.1.mlp.down_proj", |
| "model.layers.3.mlp.gate_proj", |
| "model.layers.3.mlp.up_proj", |
| "model.layers.3.mlp.down_proj", |
| "model.layers.6.mlp.gate_proj", |
| "model.layers.6.mlp.up_proj", |
| "model.layers.6.mlp.down_proj", |
| "model.layers.7.mlp.gate_proj", |
| "model.layers.7.mlp.up_proj", |
| "model.layers.7.mlp.down_proj", |
| "model.layers.8.mlp.gate_proj", |
| "model.layers.8.mlp.up_proj", |
| "model.layers.8.mlp.down_proj", |
| "model.layers.14.mlp.gate_proj", |
| "model.layers.14.mlp.up_proj", |
| "model.layers.14.mlp.down_proj", |
| "model.layers.25.mlp.gate_proj", |
| "model.layers.25.mlp.up_proj", |
| "model.layers.25.mlp.down_proj", |
| "model.layers.28.mlp.gate_proj", |
| "model.layers.28.mlp.up_proj", |
| "model.layers.28.mlp.down_proj", |
| "model.layers.31.mlp.gate_proj", |
| "model.layers.31.mlp.up_proj", |
| "model.layers.31.mlp.down_proj" |
| ], |
| "seed": 13 |
| }, |
| "path_used": "E1 (PEFT target_modules = projections of selected attention/MLP blocks)" |
| } |
