concept
active
concept:representation-based-path

Representation-based Path

The path in activation space derived by fitting the representation manifold, used to steer along the geometric structure of internal representations.

Neighborhood — ranked by edge-count

Concepts (2)

concept
  • One-dimensional curved surface in internal activation space; the paper demonstrates alignment with behavior manifold.
  • The path in activation space derived by optimizing steering interventions to produce outputs along the behavior manifold, independent of representation geometry.

Findings (1)

finding

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 idea that features are encoded as directions in activation space.
  • The evolution of an agent's latent representations over the course of training, shown to align with reward improvement when causal emergence is high.
  • Sequences of transformations in configuration space that maintain wholeness and reliably lead to living configurations.
  • The central question of whether representational geometry implies corresponding computational structure
  • Property of conscious representations: they do not contain information about the fact that they are representations at the level of the representation itself
  • Measure of similarity between the similarity structures (kernels) induced by two different representations
  • The core analytical technique of expanding transformer computations from layer-by-layer products into sums of end-to-end path terms for independent analysis
  • Idea that information is spread across many neurons; superposition is a subtype.