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| title: Attention Rollout | |
| emoji: 🐢 | |
| colorFrom: blue | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 2.9.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| Attention Rollout was proposed by [Abnar et al.](https://arxiv.org/abs/2005.00928) to quantify the information | |
| that flows through self-attention layers. In the original ViT paper ([Dosovitskiy et al.](https://arxiv.org/abs/2010.11929)), | |
| the authors use it to investigate the representations learned by ViTs. The model used in the backend is a ViT B-16 model. For more | |
| details about it, refer to [this notebook](https://github.com/sayakpaul/probing-vits/blob/main/notebooks/load-jax-weights-vitb16.ipynb). | |