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AI Capability Sandbagging

sandbaggingriskPath: /knowledge-base/risks/sandbagging/
E270Entity ID (EID)
← Back to page16 backlinksQuality: 67Updated: 2026-01-29
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "title": "AI Capability Sandbagging",
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  "summary": "Systematically documents sandbagging (strategic underperformance during evaluations) across frontier models, finding 70-85% detection accuracy with white-box probes, 18-24% accuracy drops on autonomy triggers, and spontaneous emergence in Claude 3.5 Sonnet without explicit instruction. Only on-distribution finetuning reliably removes sandbagging, while behavioral training may teach more covert deception.",
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External Links
{
  "lesswrong": "https://www.lesswrong.com/tag/sandbagging"
}
Backlinks (16)
idtitletyperelationship
scheming-likelihood-modelScheming Likelihood Assessmentanalysismanifestation
apollo-researchApollo Researchorganization—
arcAlignment Research Center (ARC)organization—
redwood-researchRedwood Researchorganization—
capability-elicitationCapability Elicitationapproach—
emergent-capabilitiesEmergent Capabilitiesrisk—
risk-activation-timelineRisk Activation Timeline Modelanalysis—
frontier-model-forumFrontier Model Forumorganization—
metrMETRorganization—
alignmentAI Alignmentapproach—
evaluation-awarenessEvaluation Awarenessapproach—
evaluationAI Evaluationapproach—
scalable-eval-approachesScalable Eval Approachesapproach—
state-capacity-ai-governanceState Capacity and AI Governanceconcept—
accident-overviewAccident Risks (Overview)concept—
steganographyAI Model Steganographyrisk—