Papers › Mass-Editing Memory in a Transformer

Mass-Editing Memory in a Transformer

13 Oct 2022arXiv:2210.07229archive 2025-07-28

Kevin Meng, Arnab Sen Sharma, Alex Andonian, Yonatan Belinkov, David Bau

Recent work has shown exciting promise in updating large language models with new memories, so as to replace obsolete information or add specialized knowledge. However, this line of work is predominantly limited to updating single associations. We develop MEMIT, a method for directly updating a language model with many memories, demonstrating experimentally that it can scale up to thousands of associations for GPT-J (6B) and GPT-NeoX (20B), exceeding prior work by orders of magnitude. Our code and data are at https://memit.baulab.info.

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