[Paper] Mechanistic Origin of Moral Indifference in Language Models

Summary

This paper explores the 'moral indifference' in Large Language Models (LLMs), suggesting that current alignment methods overlook internal unaligned representations, leading to long-tail risks. It posits that LLMs inherently compress distinct moral concepts into uniform probability distributions. The research verifies this indifference in LLMs' latent representations and proposes a remedy using constructed moral vectors.

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