Skip to content

gnueaj/SAE_vis

 
 

Repository files navigation

SAE Feature Visualization Platform

Interactive visualization platform for exploring Sparse Autoencoder (SAE) feature explanations across multiple LLM models.

Prerequisites

  • Python 3.8+ with pip
  • Node.js 16+ with npm

Running the Demo

1. Start Backend Server

Open a terminal and run:

cd backend
pip install -r requirements.txt
python start.py

Backend will start at http://localhost:8003

2. Start Frontend Server

Open a new terminal and run:

cd frontend
npm install
npm run dev

Frontend will start at http://localhost:3003

3. Open Application

Visit http://localhost:3003 in your browser.


For detailed documentation, see CLAUDE.md in the root directory.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • TypeScript 54.1%
  • Python 37.8%
  • CSS 7.9%
  • Other 0.2%