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Stable features in sparse autoencoders dominate predictive power, while unstable features reveal a surprising low-dimensional structure that complicates reproducibility.
Causal manipulation of TTS features enables unprecedented control over speech synthesis, transforming how we can steer voice characteristics in real-time.
Bootstrapping student policies with teacher-aligned rollouts within a KL-constrained trust region significantly boosts on-policy distillation performance in math reasoning tasks.
