  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.
