Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models
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Benchmark
Model
Rank
Results
image-classification-on-imagenet-v2
SAE-FT (ViT-B/16)
#33
Top 1 Accuracy: 73.9
Rank counts only results with a code link.