A shipped exit rule picks good steps — and still costs answers
A recurrent-depth language model ships six ways to stop early. Measuring one of them at its own default: it selects better stopping points than chance, and on one task it still loses accuracy on the answers. Both are true, and separating them needed two different experiments.
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