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

Flexible Model Interpretability through Natural Language Model Editing