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concept:change-of-basis-for-neural-representations

Change-of-Basis for Neural Representations

Key insight that rotating a neural representation to a non-standard basis can reveal distributed causal structure invisible in standard neuron-aligned basis.

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Methods (1)

method
  • The core method introduced in this paper: finds alignments between high-level causal variables and distributed neural representations via gradient descent.

Concepts (1)

concept
  • Representations where individual neurons play multiple conceptual roles; patterns consisting of linear combinations of unit vectors.

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.