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 This organization hosts the weight diffs, DIT adapters, and finetuning data used in paper [Learning to Interpret Weight Differences in Language Models (Goel et al. 2025)](https://arxiv.org/abs/2510.05092).
 The paper introduces *Diff Interpretation Tuning*, a method that trains a LoRA adapter than can be applied to a model to get it to describe its own finetuning induced modifications.
-In addition to the [loras](https://huggingface.co/diff-interpretation-tuning/loras) and [finetuning-data](https://huggingface.co/datasets/diff-interpretation-tuning/finetuning-data) repositories hosted here,
-you can also check out our [Google Colab demo notebook](https://colab.research.google.com/drive/12YD_9GRT-y_hFOBqXzyI4eN_lJGKiXwN?usp=sharing) and our [Github](https://github.com/Aviously/diff-interpretation-tuning).
 <p align="center">
 <img src="https://cdn-uploads.huggingface.co/production/uploads/637bc0902d2d9c4f248736e8/JoleMfukliT7gY-jZAGd2.png" alt="Teaser image for Diff Interpretation Tuning" width="650"/>

 This organization hosts the weight diffs, DIT adapters, and finetuning data used in paper [Learning to Interpret Weight Differences in Language Models (Goel et al. 2025)](https://arxiv.org/abs/2510.05092).
 The paper introduces *Diff Interpretation Tuning*, a method that trains a LoRA adapter than can be applied to a model to get it to describe its own finetuning induced modifications.
+Please also check the [Github repo](https://github.com/Aviously/diff-interpretation-tuning) for this project.
 <p align="center">
 <img src="https://cdn-uploads.huggingface.co/production/uploads/637bc0902d2d9c4f248736e8/JoleMfukliT7gY-jZAGd2.png" alt="Teaser image for Diff Interpretation Tuning" width="650"/>