Automates attribution-graph analysis via probe prompting: circuit-trace a prompt, auto-generate concept probes, profile feature activations, cluster supernodes.
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Updated
Jun 5, 2026 - Jupyter Notebook
Automates attribution-graph analysis via probe prompting: circuit-trace a prompt, auto-generate concept probes, profile feature activations, cluster supernodes.
Zero-dependency Python client and field guide for Neuronpedia's NLA API. Auto-batches positions, normalises response shapes, and surfaces the reconstruction-fidelity metrics the spec omits.
Reproducible case study of pitfalls in contrastive SAE discovery and steering for "consciousness" features (GemmaScope SAEs, Gemma 3 4B/12B): reconstruction confound, delta-steering fix, matched controls, and false-positive scaling law vs dataset size.
Explore limitations of contrastive SAE steering in identifying causal consciousness features and introduce delta-steering to improve experiment validity.
Chemistry interpretability pilots on Gemma-2-2B via Neuronpedia — SAE feature discovery, causal steering, and circuit tracing. Preliminary evidence for a mechanistic-interpretability predoctoral proposal (no local GPU).
Finding SAE features in Gemma 3 vision-language model — autonomous AI vs human-guided AI comparison using GemmaScope 2
Use GemmaScope and Neuronpedia features to steer Gemma 3 4B IT locally
Browser visualizer for Neuronpedia Jacobian-lens (J-space) chat exports: watch the concepts a model holds across its layers, a beat before each word.
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