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iit-style

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kai9987kai / Supermix-Tether

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Tether trains a 2,762-parameter receiver over frozen digit classifiers. It compares ordinary supervised learning, donor dropout, an IIT-style intervention control, and two additional losses: matching relevant intervention effects and suppressing irrelevant or damaged-expert effects. The main comparison is Tether versus identical-data IIT, with sing

digital parameters classifiers model-context-protocol supermix iit-style
  • Updated Nov 2, 2026
  • Python

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