Toru Takahashi

Matched Specialization, Different Adaptation: Second-Moment Structure in Shared Representations

Small Adam-trained shared-representation networks can reach equivalent selected mean readout measurements yet respond differently to the same further learning. We use state interventions to separate second-moment scale and coordinate-pattern effects, then examine their formation and time dependence. In the central two-...