Recent Exciting Things!

Transformer Circuits

Multimodal Neurons On Distill

Circuits On Distill

Neural Networks (General)

Neural Networks, Manifolds, and Topology

Deep Learning, NLP, and Representations

Calculus on Computational Graphs: Backpropagation

Neural Networks, Types, and Functional Programming

Recurrent Neural Networks

Understanding LSTM Networks

Attention and Augmented Recurrent Neural Networks On Distill

Convolutional Neural Networks

Conv Nets

A Modular Perspective

Understanding Convolutions

Groups & Group Convolutions

Deconvolution and Checkerboard Artifacts On Distill

Visualizing Neural Networks

Visualizing MNIST

An Exploration of Dimensionality Reduction

Visualizing Representations

Deep Learning and Human Beings

Inceptionism

Going Deeper into Neural Networks

On the Google Research Blog

Four Experiments in Handwriting with a Neural Network On Distill

Feature Visualization

How neural networks build up their understanding of images

On Distill

The Building Blocks of Interpretability On Distill

Differentiable Image Parameterizations On Distill

Activation Atlases On Distill

Circuits On Distill

Understanding RL Vision On Distill

Multimodal Neurons On Distill

Transformer Circuits

Individual Circuits Articles

Zoom In: An Introduction to Circuits On Distill

An Overview of Early Vision in InceptionV1 On Distill

Curve Detectors On Distill

Naturally Occurring Equivariance in Neural Networks On Distill

High-Low Frequency Detectors On Distill

Curve Circuits On Distill

Visualizing Weights On Distill

Miscellaneous

Fanfiction, Graphs, and PageRank

Data.List Recursion Illustrated

Visual Information Theory

Research Debt On Distill

The Paths Perspective on Value Learning On Distill