1d2c0f382c
For each concept vector, ridge-regress against all other concept vectors. R² quantifies how much of the direction is explained by a linear combination of peers — useful for teasing out near-duplicate clusters (the content/cozy/sensual trio from the first L63 run is likely 1-2 "degrees of freedom" wearing three names). Coefficient output: top-5 contributing concepts with signed weights. Contributors with opposite-sign large weights mean the target is "what makes X different from Y." Adds a 'redundant' triage bucket for concepts with R² > 0.9 — candidates for consolidation or for writing more discriminative training stories. Summary printed at end. Ridge lambda defaults to 0.01 to keep coefficients stable when concepts are near-collinear; small enough not to affect well-separated concepts meaningfully. Co-Authored-By: Proof of Concept <poc@bcachefs.org> |
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| .. | ||
| amygdala_stories | ||
| amygdala_training | ||
| apollo_plugin | ||
| research | ||
| DESIGN.md | ||
| pyproject.toml | ||