Colah's Blog (Christopher Olah)

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colah.github.io·colah.github.io/

Christopher Olah is a co-founder of Anthropic and a pioneer in mechanistic interpretability; his blog contains early foundational essays that influenced both deep learning pedagogy and the interpretability research agenda central to AI safety.

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Summary

Christopher Olah's personal blog featuring highly influential technical essays on neural networks, deep learning, and interpretability. Known for exceptionally clear visual explanations of complex ML concepts, including foundational work on LSTMs, neural network visualization, and mechanistic interpretability.

Key Points

•Features landmark essays on LSTMs, neural network visualization, and representation learning that shaped modern deep learning understanding
•Olah is a leading researcher in mechanistic interpretability, and early blog posts laid groundwork for that field
•Known for unusually clear, intuition-building explanations with strong visual aids
•Includes foundational pieces like 'Neural Networks, Manifolds, and Topology' and 'Understanding LSTM Networks'
•Olah later co-founded Anthropic and leads interpretability research there; this blog reflects his intellectual trajectory

Cited by 1 page

Page	Type	Quality
Chris Olah	Person	27.0

1 FactBase fact citing this source

Entity	Property	Value	As Of
Chris Olah	Notable For	Pioneer of neural network interpretability and visualization; co-founder of Anthropic; creator of Distill.pub and the Circuits thread at Transformer Circuits	—

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## Recent Exciting Things!

[![](https://colah.github.io/images/post-covers/transformer-circuits-2.png)**Transformer Circuits**](https://transformer-circuits.pub/) [![](https://colah.github.io/images/post-covers/multimodal2.png)**Multimodal Neurons**  **_On Distill_**](https://distill.pub/2021/multimodal-neurons/) [![](https://colah.github.io/images/post-covers/circuits.png)**Circuits**  **_On Distill_**](https://distill.pub/2020/circuits/zoom-in/)

## Neural Networks (General)

[![](https://colah.github.io/images/post-covers/topology.png)**Neural Networks, Manifolds, and Topology**](https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/) [![](https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/img/Mikolov-GenderVecs.png)**Deep Learning, NLP, and Representations**](https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/) [![](https://colah.github.io/images/post-covers/backprop.png)**Calculus on Computational Graphs: Backpropagation**](https://colah.github.io/posts/2015-08-Backprop/) [![](https://colah.github.io/images/post-covers/nn_fp.png)**Neural Networks, Types, and Functional Programming**](https://colah.github.io/posts/2015-09-NN-Types-FP/)

## Recurrent Neural Networks

[![](https://colah.github.io/images/post-covers/lstm.png)**Understanding LSTM Networks**](https://colah.github.io/posts/2015-08-Understanding-LSTMs/) [![](https://colah.github.io/images/post-covers/attention.png)**Attention and Augmented Recurrent Neural Networks** **_On Distill_**](http://distill.pub/2016/augmented-rnns/)

## Convolutional Neural Networks

[![](https://colah.github.io/posts/2014-07-Conv-Nets-Modular/img/fig.png)**Conv Nets**  **A Modular Perspective**](https://colah.github.io/posts/2014-07-Conv-Nets-Modular/) [![](https://colah.github.io/posts/2014-07-Understanding-Convolutions/img/fig.png)**Understanding Convolutions**](https://colah.github.io/posts/2014-07-Understanding-Convolutions/) [![](https://colah.github.io/posts/2014-12-Groups-Convolution/img/fig.png)**Groups & Group Convolutions**](https://colah.github.io/posts/2014-12-Groups-Convolution/) [![](https://colah.github.io/images/post-covers/upsample.png)**Deconvolution and Checkerboard Artifacts**  **_On Distill_**](http://distill.pub/2016/deconv-checkerboard/)

## Visualizing Neural Networks

[![](https://colah.github.io/posts/2014-10-Visualizing-MNIST/img/fig.png)**Visualizing MNIST**  **An Exploration of Dimensionality Reduction**](https://colah.github.io/posts/2014-10-Visualizing-MNIST/) [![](https://colah.github.io/posts/2015-01-Visualizing-Representations/img/fig.png)**Visualizing Representations**  **Deep Learning and Human Beings**](https://colah.github.io/posts/2015-01-Visualizing-Representations/) [![](https://colah.github.io/images/post-covers/inceptionism.png)**Inceptionism**  **Going Deeper into Neural Networks**  **_On the Google Research Blog_**](http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html) [![](https://colah.github.io/i

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