Name: AI Interpretability Mini-Hackathon
Start: 2025-11-19T17:00:00.000-05:00
End: 2025-11-19T18:30:00.000-05:00
Location: Bowers Hall

A community of students and researchers conducting research and outreach to mitigate risks from advanced AI systems.

Cornell AI Alignment

Join us for a hands-on mini-hackathon focused on interpretability and truthfulness in language models!

We will work in small groups to replicate results from 

The Internal State of an LLM Knows When It’s Lying

 using a Google Colab notebook, which will be provided before the hackathon starts with instructions and tutorial. You’ll train a probe on the internal activations of Gemma 3 270M, Google’s lightweight open-source LLM, to detect whether a statement is true or false—and compare your probe’s performance to the model’s explicit answers.

We’ll also introduce several popular interpretability techniques and host a short brainstorming session for new research ideas💡!

🏆 Prizes will be awarded to the top team with the highest probe accuracy!

AI Interpretability Mini-Hackathon

Sameer Mehta

Marcel Illing