The article also provides a guide on how to get started with Inspectus, including installation and usage instructions. It demonstrates how to import the library and use it with attention maps from Huggingface transformers. Additionally, it provides tutorials on how to use Inspectus with a Huggingface model and a custom attention map. The tutorials include code examples and links to notebooks for further reference.
Key takeaways:
- Inspectus is a versatile visualization tool for large language models that provides multiple views for diverse insights into language model behaviors.
- The tool includes components such as Attention Matrix, Query Token Heatmap, Key Token Heatmap, and Dimension Heatmap to visualize attention scores between tokens and dimensions.
- Inspectus can be easily used in Jupyter notebooks via a Python API, and it can handle attention maps from Huggingface transformers or custom 2D attention maps.
- It provides tutorials for using Inspectus with Huggingface models and creating custom attention maps, demonstrating its flexibility and ease of use.