But. Don't you wanna learn? I love implementing interpretability papers on my CNNs. It's very revealing. I also like also just toying with monte-carlo methods or nearest-neighbors to see the origin of a decision or 'how close' it was to decide otherwise in each dimension. If only to detect some unknowns in your training set.