🚀NEW COURSEVibe Coding AI Apps with Claude Code 🤖✨Enroll now
Safety

LLM Explains Neurons in LLMs

Free while signed in. Answers cite the passages they came from.

Paper preview
LLM Explains Neurons in LLMs
The curator’s take

OpenAI's automated interpretability pipeline using GPT-4 to explain GPT-2 neurons.

Key points
01

GPT-4 as interpreter: Uses GPT-4 to generate natural-language explanations of what individual GPT-2 neurons detect.

02

Automated scoring: Also uses GPT-4 to score how well an explanation predicts the neuron's actual activations on new text.

03

Scale of interpretability: Enables scaling interpretability research to all neurons in a model, previously impractical with human effort.

04

Automated interpretability era: Sparked the automated interpretability research program that continued in 2024 with SAE-based techniques and Golden Gate Claude demos.

Every Monday
Get next week’s papers.

The same picks and the same summaries, in your inbox. Free, and 176 issues deep.

Subscribe on Substack