Update README.md

README.md

@@ -9,12 +9,14 @@ This repository contains the weight diffs and DIT adapters used in the paper [Le
 This 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.
 
 To play around with the weight diffs and DIT adapters from the paper, please check out our [Google Colab demo notebook](https://colab.research.google.com/drive/12YD_9GRT-y_hFOBqXzyI4eN_lJGKiXwN?usp=sharing).
-The code used to train and evaluate the weight diffs and DIT adapters can be found at [github.com/Aviously/diff-interpretation-tuning](https://github.com/Aviously/diff-interpretation-tuning).
+This notebook shows how to load the weight diffs and adapters from this repo.
+
+The code used to train and evaluate our weight diffs and DIT adapters can be found at [github.com/Aviously/diff-interpretation-tuning](https://github.com/Aviously/diff-interpretation-tuning).
 
 A diagrammatic overview of Diff Interpretation Tuning is shown below:
 <img src="dit-diagram.png" alt="Diagram of Diff Interpretation Tuning" width="600"/>
 
-You can cite our work using the following bibtex
+You can cite our work using the following bibtex,
 ```
 @misc{goel2025learninginterpretweightdifferences,
       title={Learning to Interpret Weight Differences in Language Models},