We propose three novel evaluation schemes to better understand the faithfulness and differences between attribution methods, and use them to study strengths and shortcomings of some widely used attribution methods. We extend [our work on attribution evaluation](publication/towards-better-understanding-attribution-methods/) to more attribution methods, models, and perform additional analyses.