# Understanding neural networks through sparse circuits

DevFeed: [Understanding neural networks through sparse circuits](<https://devfeed.tech/articles/understanding-neural-networks-through-sparse-circuits-6699.md>)

Original publisher: [Read original article](<https://openai.com/index/understanding-neural-networks-through-sparse-circuits>)

Published: 2025-11-13T10:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Chain-of-thought](<https://devfeed.tech/topics/chain-of-thought.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [chain-of-thought](<https://devfeed.tech/tags/chain-of-thought.md>), [models](<https://devfeed.tech/tags/models.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [openai](<https://devfeed.tech/tags/openai.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>), [training](<https://devfeed.tech/tags/training.md>)

## AI overview

OpenAI explores mechanistic interpretability through sparse circuits: training neural networks to use simpler, more traceable computations. The approach aims to make model behavior easier to understand and support safer, more reliable AI systems.

## Source excerpt

OpenAI is exploring mechanistic interpretability to understand how neural networks reason. Our new sparse model approach could make AI systems more transparent and support safer, more reliable behavior.