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synthetic-benchmarks

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A research harness for studying how sequence-mixing architectures (softmax attention, linear attention, state-space models, delta-rule associative memory, and more) causally shape superposition and feature isolation in learned representations, using ground-truth synthetic benchmarks instead of natural-language probing.

  • Updated Jul 5, 2026
  • Python

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