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Anthropic Tests a Fine-Tuned “Lie Detector”: In-Domain AUROC Rises to 0.95, but Falls to Around 0.70 on a Different Type of Lie
The research team used eight open model families to generate roughly 200,000 examples of pressure-induced scenarios, then applied LoRA to train models to determine whether they themselves were lying. The detectors mainly learned surface-level patterns such as sycophancy and capability denial, performing only slightly better than prompting baselines on unseen lie types.