Flexible Model Interpretability through Natural Language Model Editing

Karel D'Oosterlinck; Thomas Demeester; Chris Develder; Christopher Potts

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arXiv · 2311.10905

Flexible Model Interpretability through Natural Language Model Editing

Karel D'Oosterlinck·Thomas Demeester·Chris Develder·Christopher Potts

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Abstract

Model interpretability and model editing are crucial goals in the age of large language models. Interestingly, there exists a link between these two goals: if a method is able to systematically edit model behavior with regard to a human concept of interest, this editor method can help make internal representations more interpretable by pointing towards relevant representations and systematically manipulating them.

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Karel D'Oosterlinck, Thomas Demeester, Chris Develder, Christopher Potts. 2023-11-17. Flexible Model Interpretability through Natural Language Model Editing. https://arxiv.org/abs/2311.10905

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