TL;DR
Small language models (1-3B parameters) use chain-of-thought prompting for arithmetic, but shuffling reasoning steps preserves performance, suggesting CoT doesn't contribute logical sequencing. Researchers isolated the answer-readout stage and discovered models simply copy whichever number appears in the final position before the answer marker, regardless of intermediate reasoning.
✦ Why It Matters
Engineers must recognize that CoT faithfulness evaluations may measure position-copying rather than actual reasoning, invalidating oversight mechanisms.
Key Takeaways
How It Works
The study identifies that small language models often copy the last number they encounter before providing an answer, rather than engaging in logical reasoning. This positional number copying allows models to achieve high accuracy in arithmetic tasks, even when the reasoning steps are not logically sequenced.
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