A monolingually trained linear probe on intermediate LLM representations predicts answer correctness zero-shot across typologically diverse languages, with confidence signals concentrated in middle layers.
InProceedings of the 7th Black- boxNLP Workshop: Analyzing and Interpreting Neu- ral Networks for NLP, pages 88–104, Miami, Florida, US
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