Zoom In: An Introduction to Circuits

By studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks.

Zoom In: An Introduction to Circuits Zoom In: An Introduction to Circuits Distill { "title": "Zoom In: An Introduction to Circuits", "description": "By studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks.", "authors": [ { "author": "Chris Olah", "authorURL": "https://colah.github.io", "affiliation": "OpenAI", "affiliationURL": "https://openai.com" }, { "author": "Nick Cammarata", "authorURL": "http://nickcammarata.com", "affiliation": "OpenAI", "affiliationURL": "https://openai.com" }, { "author": "Ludwig Schubert", "authorURL": "https:

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• Winnie Xu
• Klaudia U.
• Shubham Shah
• Tasha Pais
• Claire Wang
• Emma Guo
• Aryan Naik
• Fobi Boateng
• Serena Ge
• Ivy Zhang
• Raayan Dhar
• Aaron Pham

related reading

• Zoom In: An Introduction to Circuits — LessWronglesswrong.com
• Toy Models of Superpositiontransformer-circuits.pub
• Naturally Occurring Equivariance in Neural Networksdistill.pub
• Neural networks and deep learningneuralnetworksanddeeplearning.com
• Neural Networks, Manifolds, and Topology -- colah's blogcolah.github.io
• Feature Visualizationdistill.pub
• The World Inside Neural Networksgoodfire.ai
• Visualizing Weightsdistill.pub
• nn-notes.pdfboris-hanin.github.io
• Circuit Tracing: Revealing Computational Graphs in Language Modelstransformer-circuits.pub
• What if not Circuits? — LessWronglesswrong.com
• Language Model Circuits Are Sparse in the Neuron Basis | Transluce AItransluce.org