lyramakesmusic/neuron-explorer

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script	output
`sweep/neuron_stats.py`	per-neuron activation extremes by sign regime, down columns, residual norms
`sweep/steer_sweep.py`	`runs/<run>.jsonl`: text, token ids, logprobs, top-k per step; optional activation captures
`sweep/rank.py`	`runs/<run>.units.jsonl`: distinctive words, cluster mass, percentile against controls
`sweep/steer_lens.py`	`stats/steer_lens_L{l}.npz`: next-token Δlogprob and KL for ±0.8 pushes on every neuron
`sweep/depth_report.py`	`runs/depth_report.json`: per-layer share of neurons above controls, coherence, top units
`sweep/shift.py`	word-shift score against controls, all words counted
`sweep/merge_runs.py`	joins sharded runs of one layer
`sweep/check_equivalence.py`	HF vs vLLM steering and capture agreement
`sweep/bench.py`, `sweep/peek.py`	throughput conditions; terminal views of a run
`explorer/build_embeddings.py`	`runs/<run>.umap.json`
`explorer/build_layout.py`	`explorer/cache/layout_writes.npz`
`explorer/build_connections.py`	`explorer/cache/connections.npz`: each neuron's 24 strongest direct-path links up and down
`sweep/capture_prefill.py`	`captures/<run>.mlp_in.npy`: MLP input at the last prompt token at the run's capture layers, steered

neuron explorer