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Array-associated reverse transcriptases (ART) are a family of reverse transcriptase (RT) systems in the genomes of jumbo bacteriophages, announced by Anthropic on September 23, 2026 as early results from one…
Attribution graphs are a mechanistic interpretability technique developed by Anthropic that traces the internal "circuits" a large language model uses to turn a specific prompt into a specific output.
Christopher Olah (commonly Chris Olah) is a Canadian machine learning researcher, a co-founder of Anthropic, and the researcher most often credited with founding mechanistic interpretability
A crosscoder is a mechanistic interpretability tool, introduced by Anthropic in October 2024, that generalizes the sparse autoencoder (SAE) and the transcoder by learning a single shared dictionary of sparse…
Golden Gate Claude was a temporary, research-oriented public demonstration released by Anthropic on May 23, 2024
On the Biology of a Large Language Model is a mechanistic interpretability paper published by Anthropic on March 27, 2025, in the Transformer Circuits Thread.
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet is the May 21
Towards Monosemanticity is an October 2023 mechanistic interpretability paper from Anthropic that used a sparse autoencoder to decompose the internal activations of a small language model into thousands of…
Toy Models of Superposition is a September 2022 mechanistic interpretability paper from Anthropic that shows how a neural network can represent more features than it has dimensions by packing them into…