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method:stepwise-mas

Stepwise MAS

MAS variant applying interchange interventions at multiple contiguous token positions from the start of a sequence to a sampled time step t.

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Papers (1)

paper

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.

  • Novel method that applies intervention only when the model begins a new thinking step (at the \n\n delimiter) rather than at every token
  • Design method: take small steps, deciding only what is known with certainty; reject guesses and large-scale trial-and-error.
  • The primary contribution of the paper: a bidirectional causal method that learns rotation matrices for each model to uncover and compare causally relevant latent subspaces across neural networks.
  • The idea that living structure emerges only through a sequence of small, structure-preserving moves, not by a single grand blueprint.
  • Design approach emphasizing breaking wholes into parts while preserving relationships, praised by a designer as Alexander's 'gold'.
  • Thinking stepsconcept0.714
    Segments of reasoning separated by \n\n tokens used as the unit of analysis in ReflCtrl
  • A 12-step sequence of structure-preserving steps proposed in this chapter for shaping urban space as positive hulls, beginning with identifying main spaces and ending with subdividing interiors.
  • The incremental unfolding characteristic of morphogenesis, where each step arises from the previous state.