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cs.CL2026
Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
Kaley Brauer, Claudio Mayrink Verdun, Samuel Marks
Frontier LLMs can perform multi-step reasoning over content-free filler tokens like dots or counting sequences, producing correct answers with no visible chain-of-thought (CoT). Th…
cs.CL2025
Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun +2
Translating the internal representations and computations of models into concepts that humans can understand is a key goal of interpretability. While recent dictionary learning met…