concept
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concept:semantic-labeling-of-cone-axesSemantic Labeling of Cone Axes
The open problem of assigning interpretable semantic meaning to individual cone basis vectors (e.g., temporal vs geographic facts)
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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.
- Central open question for future work on interpretability of cone axes
- The central idea that external structure binds latent patterns to desired targets.
- Future direction hypothesis for giving semantic meaning to individual axes
- Ordering recursive delegation along different axes (e.g., object→perspective vs. perspective→object) yields different binding semantics.
- The symmetry where β1 yields object delegation and β2 yields selector/name delegation, creating a 2D delegation space.
- The main framework proposed for retrieving and steering high-order semantic features in LLMs via sparse autoencoders.
- Clarification that the multi-axis delegation is sequential and deterministic.
- Core principle that spatial positioning, proximity, and graphical features constitute a meaning-making system independent of textual content.