concept
active
concept:recurrent-model-intervention-supportRecurrent Model Intervention Support
pyvene's capability to intervene on recurrent models like GRUs by tracking state variables per hook
Neighborhood — ranked by edge-count
Papers (1)
paper
Claims (1)
claim
- Technical claim justifying pyvene's state-variable hook tracking for recurrent model support
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.
- 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.
- Attribute: providing a foundation function, a text that acts as base or corroboration.
- Second model system studied; used to show why flat autoregressive LLMs struggle with long-range coherence.