Don't reuse nn.ReLU modules #239
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Reusing the same ReLU module for multiple layers can make it more difficult for researchers as for example PyTorch's hook system won't work properly on the reused layer modules. I ran into this issue while building and testing interpretability tools on the CLIP models.
This PR doesn't change how any of the models work. It merely makes it possible to access and research each ReLU layer separately. Let me know if I need to make any changes before it can be merged!