Understanding neural networks through sparse circuits

OpenAI Blog · 8 months ago

OpenAI is developing sparse model techniques to understand how neural networks process information and make decisions. Researchers are using mechanistic interpretability methods to identify which parts of networks are responsible for specific behaviors. This work aims to make AI systems more transparent and predictable, potentially supporting safer deployment of these systems.