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lol #4
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Fix BatchTopKSAE training
Add end to end test, upgrade nnsight to support 0.3.0, fix bugs
Add option to normalize dataset, track thresholds for TopK SAEs, Fix Standard SAE
Add sparsity warmup
feat: pypi packaging and auto-release with semantic release
Add mixed datasets, model truncation, new activation buffers
safer remove_bos logic
added load_dictionary to readme.md in order to load different SAEs
Fix broken links in README
Topk annealing
Add optional mask for high norm tokens
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