Alright so we have: - Bayesian Influence Functions allow us to find a training data:output loss correspondence- Maybe the eigenvalues of the eNTK (very similar to influence function) corresponds to features in the data- Maybe the features in the dataset can be found with an SAETherefore (will test this later today) maybe we can use SAE features to predict the influence function.