May 5, 202613 min read
Mapping the Concept Space Inside Language Models
How we used sparse features, auto-interpretability, and steering experiments to turn hidden activations into searchable, testable, and steerable signals.
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What we find inside.
Open research on mechanistic interpretability, internal model signals, and the foundations behind NeuronLens products.