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| "top77_importance_share": 0.6821213215961357 |
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| "terminal_bench_hard_agent": { |
| "label": "Terminal-Bench Hard Agent", |
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| "expert_activation_spearman": 0.3902816720073243, |
| "layer_expert_importance_pearson": 0.32986560153360445, |
| "layer_expert_importance_spearman": 0.5570047876812991 |
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| "combined_mean_experts_for_20_50_80_90_95_importance": { |
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| "recommendation": { |
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| "terminal_bench_importance_share": 0.4405960555206748, |
| "mean_importance_share": 0.5080928013471442, |
| "scicode_activation_share": 0.3226206085043146, |
| "terminal_bench_activation_share": 0.27775204697000433 |
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| "global_expert_top30_percent": { |
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| "note": "llama.cpp currently exposes layer-level MoE CPU/GPU placement, not true per-expert residency; these sets are for a modified runtime or ablation experiment." |
| }, |
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| "scicode_activation_share": 0.11223936386298104, |
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| "mean_importance_share": 0.0017612936, |
| "min_importance_share": 0.0004726566, |
| "scicode_importance_score_share": 0.0030499307, |
| "terminal_importance_score_share": 0.0004726566 |
| } |
| ] |
| } |
|
|
