Mechanistic Interpretability visualizations, that work both in both Python (e.g. with Jupyter Lab) and JavaScript (e.g. React or plain HTML).
View them all at https://alan-cooney.github.io/CircuitsVis
pip install circuitsvis
yarn add circuitsvis
You can use any of the components from the demo page. These show the source code for use with React, and for Python you can instead import the function with the same name.
# Python Example
from circuitsvis.tokens import colored_tokens
colored_tokens(["My", "tokens"], [0.123, -0.226])
// React Example
import ColoredTokens from "circuitsvis";
function Example() {
<ColoredTokens
tokens=["My", "tokens"]
values=[0.123, -0.266]
/>
}
For a one-click setup of your development environment, this project includes a DevContainer. It can be used locally with VS Code or with GitHub Codespaces.
To create new visualizations you need Node (including yarn) and Python (with Poetry).
Once you have these, you need to install both the Node & Python packages (note that for Python we use the Poetry package management system).
cd react && yarn
cd python && poetry install --with dev
If you want Jupyter as well, run poetry install --with jupyter
or, if this
fails due to a PyTorch bug on M1 MacBooks, run poetry run pip install jupyter
.
You'll first want to create the visualisation in React. To do this, you can copy
the example from /react/src/examples/Hello.tsx
. To view changes whilst editing
this (in Storybook), run the following from the /react/
directory:
yarn storybook
This project uses Poetry for package management. To install all rew
Once you've created your visualization in React, you can then create a short
function in the Python library to render it. You can see an example in
/python/circuitsvis/examples.py
.
Note that this example will render from the CDN, unless development mode is specified. Your visualization will only be available on the CDN once it has been released to the latest production version of this library.
When a PR is merged, it will automatically release updated minor versions of the Node and Python libraries.