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Tooling

Real-Time Window Into GPT-2's Decision-Making Process

A new tool called AXON visualizes what language models are actually computing before they generate each token, using sparse autoencoders to decode the model's internal reasoning.

1 min read

We're watching mechanistic interpretability move from academic curiosity to interactive tool. AXON does something genuinely novel: it lets you watch a language model think in real-time, displaying the exact features firing in GPT-2's residual stream as it generates each token.

The core insight is d...

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Method & sources
Source type
Community signal (Reddit) — our summary + analysis
Source link
Reddit · reddit-machinelearning
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
Correction?
corrections@gotcontext.ai