 claude
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774c0660b0
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router/semantic: slice 16 diagnostic — action/non-action boundary analysis
Experiments:
- Residual-only OOF safety metrics
- False-action decomposition by semantic family (7 families, 24 split groups)
- Paired e5 geometry (gap=0.010 between action and capability question)
- Binary action probe (PR-AUC=0.707, ROC-AUC=0.863)
- Cost-sensitive linear classification
- Expanded action-threshold sweep (7 thresholds)
- Voice-like punctuation stress evaluation
- e5 + tiny structural features
- Four-hypothesis comparison table
Verdict: e5 representation is the primary bottleneck. Action seeds and
capability questions are nearly indistinguishable in embedding space.
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2026-09-07 14:02:00 +04:00 |
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claude
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9df223907b
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router/semantic: sklearn grouped CV linear head experiment (slice 15)
Python experiment: 6-class logistic regression over frozen e5 embeddings,
grouped cross-validation, calibration, abstention curves, contrast-family
analysis, action-threshold sweep.
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2026-09-07 13:52:12 +04:00 |
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