Cross-Layer Transcoder (CLT) library for extracting sparse interpretable features from transformer models. Batched processing, memory-efficient, works with any LLM/VLM.
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Updated
Oct 27, 2025 - Python
Cross-Layer Transcoder (CLT) library for extracting sparse interpretable features from transformer models. Batched processing, memory-efficient, works with any LLM/VLM.
Automates attribution-graph analysis via probe prompting: circuit-trace a prompt, auto-generate concept probes, profile feature activations, cluster supernodes.
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