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concept:representational-disentanglement

Representational Disentanglement

CIMC's characterization of part of the solution to the Hard Problem: insight into the structural necessities of phenomenal representation

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.

  • Adjacent ML literature on separating independent factors of variation; related to but distinct from the polysemanticity problem studied here
  • Disentanglementframework0.853
    Related research agenda seeking representations that separate conceptually distinct factors; contrasted with superposition approach
  • Core phenomenon studied: when causal interventions shift internal representations away from the natural distribution
  • The central question of whether representational geometry implies corresponding computational structure
  • 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 aspect of design dealing with data structures, modules, and implementation.
  • Idea that information is spread across many neurons; superposition is a subtype.
  • The desired property of a bidirectional, behavior-preserving mapping between model representations; the goal MAS pursues.