Interpretability for Time Series Transformers using A Concept Bottleneck Framework

Angela van Sprang, Erman Acar, Willem Zuidema

Mechanistic interpretability focuses on reverse engineering the internal mechanisms learned by neural networks. We extend our focus and propose to mechanistically forward engineer…