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concept:representational-isomorphism

Representational Isomorphism

The desired property of a bidirectional, behavior-preserving mapping between model representations; the goal MAS pursues.

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Frameworks (1)

framework
  • The primary contribution of the paper: a bidirectional causal method that learns rotation matrices for each model to uncover and compare causally relevant latent subspaces across neural networks.

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.

  • Two skills prescribing the same sequence of steps differing only in surface implementation details, enabling identical downstream performance
  • The central question of whether representational geometry implies corresponding computational structure
  • Dominant interpretation of generative models as neural structures with representational content; main target of critique
  • Isomorphism Frameworkframework0.785
  • Measure of similarity between the similarity structures (kernels) induced by two different representations
  • Property of conscious representations: they do not contain information about the fact that they are representations at the level of the representation itself
  • CIMC's characterization of part of the solution to the Hard Problem: insight into the structural necessities of phenomenal representation
  • The evolution of an agent's latent representations over the course of training, shown to align with reward improvement when causal emergence is high.