Language models can explain neurons in language models
Analysis
This article highlights a research advancement in understanding the inner workings of large language models (LLMs). OpenAI is using GPT-4 to generate explanations for the behavior of individual neurons within LLMs, specifically GPT-2. The release of a dataset containing these explanations and their associated scores is a significant contribution to the field, even acknowledging the imperfections of the explanations. This research could lead to improved interpretability and potentially better control and understanding of LLMs.
Key Takeaways
“We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.”