Working version of faithfulness dashboard with SAE directions!

contrib/faithfulness/README.md

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+# Faithfulness
+
+This module demonstrates that SAE features are faithful and that the underlying vision model does in fact depend on the features to make its predictions.
+
+It demonstrates this through an interactive dashboard and through larger-scale quantitative experiments.
+
+## Dashboard
+
+First, record activations for the ADE20K dataset.
+
+```sh
+uv run python -m saev activations \
+  --model-group clip \
+  --model-ckpt ViT-B-16/openai \
+  --d-vit 768 \
+  --n-patches-per-img 196 \
+  --layers -2 \
+  --dump-to /local/scratch/$USER/cache/saev \
+  --n-patches-per-shard 2_4000_000 \
+  data:ade20k-dataset \
+  --data.root /research/nfs_su_809/workspace/stevens.994/datasets/ade20k/images
+```