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Language models can explain neurons in language models
Simon Willison's Weblog simonwillison.net
Language models can explain neurons in language models
Fascinating interactive paper by OpenAI, describing how they used GPT-4 to analyze the concepts tracked by individual neurons in their much older GPT-2 model. "We generated cluster labels by embedding each neuron explanation using the OpenAI Embeddings API, then clustering them and asking GPT-4 to label each cluster."
Via OpenAI blog
ai analyze api cluster clustering embedding embeddings explorables generated generativeai gpt gpt-2 gpt-4 gpt4 interactive labels language language models llms neuron neurons openai paper