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Reading Between the Dots: Decoding Hidden Computation across Filler Tokens

Brauer, Kaley et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
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). This is a limit case for behavioral oversight, where surface tokens carry no information about the underlying reasoning. B
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