974c6c7fd2
When --method subspace, record top-20 eigenvalues of (M_pos - M_base) per concept per layer. Added to quality.json as 'subspace_eigvals'. Tells us whether the concept lives in a single dominant direction (λ_0 >> λ_1, top-eigenvector is enough) or a spread of shared common directions (λ_0 ≈ λ_1, top-1 loses signal). Co-Authored-By: Proof of Concept <poc@bcachefs.org> |
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| .. | ||
| amygdala_stories | ||
| amygdala_training | ||
| apollo_plugin | ||
| research | ||
| DESIGN.md | ||
| pyproject.toml | ||