Hello everyone, I have trained a multi-class classification model with pre-trained Albert LM. I am now experimenting with Captum to see the attribution score of each class/label. I expect to see positive/max attribution score for model prediction class/label, and negative and smaller scores for the rest of classes/labels. However, I don’t really see such a correlation there. Not sure if I don’t use Captum correctly or my expectation is simply not correct. Anyone has experience with this? Thanks.