Why Do Large Language Models Generate Harmful Content? explores Identifies specific neural mechanisms within LLMs, particularly MLP blocks in later layers, responsible for generating harmful content.. Commercial viability score: 3/10 in LLM Interpretability.
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Freshness
Canonical route: /paper/why-do-large-language-models-generate-harmful-content
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Agent Handoff
Canonical ID why-do-large-language-models-generate-harmful-content | Route /paper/why-do-large-language-models-generate-harmful-content
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/why-do-large-language-models-generate-harmful-contentMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.11663"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Why Do Large Language Models Generate Harmful Content?",
"normalized_query": "2604.11663",
"route": "/paper/why-do-large-language-models-generate-harmful-content",
"paper_ref": "why-do-large-language-models-generate-harmful-content",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 3.0
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