concept
active
concept:kernel-representationalKernel (representational)
A function characterizing how a representation measures distance/similarity between datapoints; used to compare representations
Neighborhood — ranked by edge-count
Concepts (2)
concept
- Representational Alignmentassociated_withimplementsMeasure of similarity between the similarity structures (kernels) induced by two different representations
- The kernel that contrastive learners converge to; similarity equals PMI between observations
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.
- 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