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concept:activation-manifoldActivation Manifold
The low-dimensional geometric structure discovered in neural activation space; contrasted with linear/Euclidean geometry.
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Concepts (3)
concept
- activation manifold M_hrelated_tosame_asManifold fitted to representations in activation space.
- Manifold SteeringimplementsCentral framework: steering neural networks by intervening along the curved manifold where a concept lives, rather than in straight lines through activation space.
- behavior manifoldassociated_withOne-dimensional curved surface in output probability space; the paper shows this mirrors representation manifold structure.
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.
- Method to fit a manifold M_h to neural representations in activation space.
- Rich geometric structure carried by neural representations.
- A smooth, potentially curved surface in activation space along which activations vary according to a coherent semantic dimension.
- Internal representations of the model on which probes operate; the method uses activations to rank datapoints.
- Representation space on which linear probes operate to attribute harmful behaviors to training data.
- Manifold fitted to output probability distributions (behavior).