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concept:kernel-representational

Kernel (representational)

A function characterizing how a representation measures distance/similarity between datapoints; used to compare representations

Neighborhood — ranked by edge-count

Concepts (2)

concept

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • The evolution of an agent's latent representations over the course of training, shown to align with reward improvement when causal emergence is high.
  • The idea that features are encoded as directions in activation space.
  • How familiar a model is with a numeral system, manipulated via bases in Experiment 2.
  • The idea that programs can be expressed as logical sentences, enabling direct deductive verification.
  • Dominant interpretation of generative models as neural structures with representational content; main target of critique
  • The proposed domain-general property indexed by deception features that governs both factual accuracy and experiential self-report
  • One-dimensional curved surface in internal activation space; the paper demonstrates alignment with behavior manifold.
  • Property of conscious representations: they do not contain information about the fact that they are representations at the level of the representation itself