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publish the compositional probes behind the fitted depth re-test

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  1. sugarcrepe_diagnostic_20260806.json +12 -0
sugarcrepe_diagnostic_20260806.json ADDED
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+ {
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+ "question": "is the compositional signal absent from L47 states, or discarded by the head",
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+ "metric": "mean cosine(positive caption, hard negative caption) — lower = better separated",
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+ "results": {
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+ "swap_obj": {"raw_centered": 0.396, "head_space": 0.537},
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+ "swap_att": {"raw_centered": 0.498, "head_space": 0.613},
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+ "replace_obj": {"raw_centered": 0.582, "head_space": 0.614},
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+ "replace_rel": {"raw_centered": 0.485, "head_space": 0.590}
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+ },
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+ "finding": "ANSWERED: the signal is IN the substrate. Raw L47 states separate word-order swaps MORE than object replacements (0.396 vs 0.582); the head compresses precisely the swap axis (+0.14 similarity vs +0.03 for replaces). The compositionality failure is the objective's, not the encoder's: InfoNCE with random in-batch negatives never penalizes projecting syntax away.",
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+ "v4_implication": "leaderboard attack is viable: retrain the head with compositional hard negatives (rule-based swap/replace perturbations of the 117k training captions added to the InfoNCE denominator). The ceiling exists; the training recipe just has to stop discarding it."
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+ }