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concept:recurrent-model-intervention-support

Recurrent Model Intervention Support

pyvene's capability to intervene on recurrent models like GRUs by tracking state variables per hook

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Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Intervention mode where interventions are applied sequentially, each building on the previous one
  • Intervention mode where multiple interventions are applied simultaneously to the same base computation graph
  • Property that additive modifications to activations affect all downstream computations, enabling tractable behavioral control
  • Intervention targeting specific dimensional subsets of activation vectors rather than full representations
  • pyvene's approach of storing interventions as shareable serialized objects rather than runtime code
  • The use of interventions (rather than correlations) to establish a causal link between representation geometry and behavioral geometry.
  • Supportmethod0.701
    Attribute: providing a foundation function, a text that acts as base or corroboration.
  • Autoregressive modelsframework0.700
    Second model system studied; used to show why flat autoregressive LLMs struggle with long-range coherence.