Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations

Atticus Geiger, Zhengxuan Wu, Christopher Potts +2

Causal abstraction is a promising theoretical framework for explainable artificial intelligence that defines when an interpretable high-level causal model is a faithful simplificat…