method
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method:hilbert-schmidt-independence-criterion-hsicHilbert-Schmidt Independence Criterion (HSIC)
Intermediate computation used in calculating CKA between model representations.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Criterion requiring that causal influence of internal state on description be internal, not routed through sampled outputs; rules out pseudo-introspection via self-observation.
- Demonstrates architecture-agnostic applicability of the SAE tuning method
- Speculative suggestion for a mathematical formalization.
- Key methodological contribution claim about architecture-agnostic SAE tuning
- The threshold value of S above which performance shifts abruptly; model- and layer-specific
- Core criterion for introspection: model must possess internal metacognitive representation of state prior to verbalization, not merely translate impulse directly into language.
- The total Hamiltonian is equally consistent with any factorisation; establishes the boundary as a modelling choice not a physical fact