Cover Image for AI Interpretability Mini-Hackathon
Cover Image for AI Interpretability Mini-Hackathon
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A community of students and researchers conducting research and outreach to mitigate risks from advanced AI systems.
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AI Interpretability Mini-Hackathon

Registration
Past Event
Welcome! To join the event, please register below.
About Event

​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!

​Catered dinner will be provided.

Location
Bowers Hall
Gerhart Dr, Cortland, NY 13045, USA
Room 324
Avatar for Cornell AI Alignment
A community of students and researchers conducting research and outreach to mitigate risks from advanced AI systems.
12 Went