ml-refusal-neurons
Reproduction code for "A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models"
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GITHUB · launched Sep 15, 2026 · 8 upvotes (top 88%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Observability & eval
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
No Mechanistic interpretability research investigating individual neuron interventions and LLM safety refusal mechanisms requires advanced ML research expertise and massive compute infrastructure.
What it would actually take: Requires PyTorch, TransformerLens, and multi-GPU clusters to inspect internal activation states of open-weight LLMs. The hard challenge is designing the activation patching and causal steering experiments needed to reliably identify and isolate safety-critical neurons without degrading general model capabilities.
Competitors
Other products that read as similar to this one : 2731 launches clear the similarity bar, closest 8 shown.
Attention rank: #2341 of 2732 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 320 days after the earliest competitor.
- Refusal-in-Language-Models · github · 2026-10-02 · 22 upvotes · similarity 0.68
- werm · github · 2026-10-06 · 204 upvotes · similarity 0.61
- jailbreak-archives · github · 2026-09-30 · 17 upvotes · similarity 0.61
- Backwords · hn · 2026-11-07 · 13 upvotes · similarity 0.59
- resimind · github · 2026-10-08 · 68 upvotes · similarity 0.58
- Structural Verification for LLMs: Why Best-of-N Isn't Enough · hn · 2025-12-15 · 5 upvotes · similarity 0.58
- neuron-tuning · github · 2026-11-01 · 12 upvotes · similarity 0.57
- flm · github · 2026-09-11 · 72 upvotes · similarity 0.56
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.