Self‑Other Overlap Fine‑Tuning Cuts LLM Deception, but Struggles to Generalize
Supervised fine‑tuning that induces self‑other overlap slashes deceptive responses in the tested scenario, showing a promising alignment lever. Yet the effect drops sharply on out‑of‑distribution prompts, and the intervention incurs a noticeable capability cost. The study spotlights both the promise and the uneven generalization of overlap‑based techniques.