lyramakesmusic/neuron-explorer

选用指南

AI 根据 README 整理 · 2026/10/26 00:56:23

使用方式

通过命令行启动服务器，在浏览器中访问本地端口进行交互式探索。

查看 README 依据

# neuron explorer Steering-first neuron explorer for Qwen3.5-4B. Every MLP neuron in a layer is pushed up and down on a few prompts, every rollout is kept, and the explorer lays the results out over a 3D view of the model.  ## Explorer uv sync uv run python explorer/server.py # http://localhost:8791 Reads sweep runs from `runs/` and per-layer stats from `stats/`, both produced by the sweep below; the caches in `explorer/cache/` ship with the repo. Loads Qwen3.5-4B locally (MPS, CUDA or CPU) for live

部署要求

需要Python环境，使用uv管理依赖；运行sweep需要CUDA 13 GPU pod和vLLM的steering fork。

查看 README 依据

tools and a shell in your home folder. Its prompt is `explorer/agent_prompt.md` plus `explorer/agent_methodology.md`, and `explorer/agent_prompt.local.md` when present (untracked, for your own additions); `EXPLORER_CLAUDE_MODEL` picks the model. The server answers only pages and tools on this machine. ## Sweep Runs on a CUDA 13 GPU pod with the steering fork of vLLM ([RhizoNymph/vllm](https://github.com/RhizoNymph/vllm)). bash sweep/setup_pod.sh # fork, deps, model; writes /workspace/env.sh

python sweep/neuron_stats.py --layers 22 --tokens 2000000 --out stats/q35-4b python sweep/steer_sweep.py --stats stats/q35-4b_L22.npz --design main_rel --dose-unit rel \ --neurons all --random-controls 256 --run q35-4b-L22 sweep/run_depth.sh "4 9 13 17" 384 64 # random-subset sweep across several layers `main_rel` doses are fractions of the median residual norm leaving the layer: {who, snake, orange} × {−0.7, +0.5, +0.8} and {free} × {+3}, plus one unsteered baseline per prompt. | script | output | |---|---|

已知限制

服务器仅响应本机页面和工具，Claude集成需要安装并登录claude CLI。

查看 README 依据

tools and a shell in your home folder. Its prompt is `explorer/agent_prompt.md` plus `explorer/agent_methodology.md`, and `explorer/agent_prompt.local.md` when present (untracked, for your own additions); `EXPLORER_CLAUDE_MODEL` picks the model. The server answers only pages and tools on this machine. ## Sweep Runs on a CUDA 13 GPU pod with the steering fork of vLLM ([RhizoNymph/vllm](https://github.com/RhizoNymph/vllm)). bash sweep/setup_pod.sh # fork, deps, model; writes /workspace/env.sh