ml-refusal-neurons
Reproduction code for "A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models"
Details
- External ID
- 1372116502
- Source
- GITHUB
- Company
- —
- Product
- ml-refusal-neurons
- Website domain
- arxiv.org
- Launched
- Sept. 15, 2026
- Cohort
- —
- Upvotes
- 8
- Upvotes percentile
- 0.14514476044068664
- Tags
- —
- Fetched at
- Sept. 19, 2026, 1:17 a.m.
- Updated at
- Sept. 19, 2026, 1:17 a.m.
Enrichment
- Theme
- voice AI agents and infrastructure
- Vertical
- Security
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- reproduction code for llm safety alignment bypass research
- Manually corrected
- False
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 — 1201 launches clear the similarity bar, closest 8 shown.
Attention rank: #880 of 1202 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 320 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
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