I recently released “Language Models Don’t Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting” with collaborators Julian Michael, Ethan Perez, and Sam Bowman. For a summary of the paper, you can check out this twitter thread. In this post, I briefly elaborate on motivations/implications relevant to alignment and, most importantly, give some examples of future work that might address these problems (See Future Work).