OpenAI peeks into the "black box" of neural networks with new research
Briefly

On Tuesday, OpenAI published a new research paper detailing a technique that uses its GPT-4 language model to write explanations for the behavior of neurons in its older GPT-2 model, albeit imperfectly.It's a step forward for "interpretability," which is a field of AI that seeks to explain why neural networks create the outputs they do.
Read at Ars Technica
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