Mechanistic Interpretability
interpretabilitysafety-agendaPath: /knowledge-base/responses/interpretability/
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"llmSummary": "Mechanistic interpretability has extracted 34M+ interpretable features from Claude 3 Sonnet with 90% automated labeling accuracy and demonstrated 75-85% success in causal validation, though less than 5% of frontier model computations are currently understood. With \\$75-150M annual investment and a 3-7 year timeline to safety-critical applications, it shows promise for deception detection (25-39% hint rate in reasoning models) but faces significant scalability challenges.",
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"text": "raised \\$50M Series A",
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"text": "AI lie detector development",
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"lesswrong": "https://www.lesswrong.com/tag/interpretability-ml-and-ai",
"eaForum": "https://forum.effectivealtruism.org/topics/ai-interpretability",
"wikipedia": "https://en.wikipedia.org/wiki/Explainable_artificial_intelligence",
"stampy": "https://aisafety.info/questions/9SIA/What-is-interpretability",
"wikidata": "https://www.wikidata.org/wiki/Q17027399",
"alignmentForum": "https://www.alignmentforum.org/tag/interpretability-ml-and-ai",
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| id | title | type | relationship |
|---|---|---|---|
| technical-research | Technical AI Safety Research | crux | — |
| natural-abstractions | Natural Abstractions | concept | — |
| solutions | AI Safety Solution Cruxes | crux | — |
| large-language-models | Large Language Models | concept | — |
| model-organisms-of-misalignment | Model Organisms of Misalignment | analysis | — |
| anthropic | Anthropic | organization | research |
| openai | OpenAI | organization | research |
| conjecture | Conjecture | organization | — |
| goodfire | Goodfire | organization | — |
| redwood-research | Redwood Research | organization | — |
| chris-olah | Chris Olah | person | — |
| connor-leahy | Connor Leahy | person | — |
| neel-nanda | Neel Nanda | person | — |
| yoshua-bengio | Yoshua Bengio | person | — |
| max-tegmark | Max Tegmark | person | — |
| anthropic-core-views | Anthropic Core Views | safety-agenda | — |
| intervention-portfolio | AI Safety Intervention Portfolio | approach | — |
| eliciting-latent-knowledge | Eliciting Latent Knowledge (ELK) | approach | — |
| formal-verification | Formal Verification (AI Safety) | approach | — |
| provably-safe | Provably Safe AI (davidad agenda) | approach | — |
| deceptive-alignment | Deceptive Alignment | risk | — |
| agentic-ai | Agentic AI | capability | — |
| situational-awareness | Situational Awareness | capability | — |
| accident-risks | AI Accident Risk Cruxes | crux | — |
| interpretability-sufficient | Is Interpretability Sufficient for Safety? | crux | — |
| why-alignment-hard | Why Alignment Might Be Hard | argument | — |
| deep-learning-era | Deep Learning Revolution (2012-2020) | historical | — |
| __index__/knowledge-base | Knowledge Base | concept | — |
| ai-timelines | AI Timelines | concept | — |
| alignment-robustness-trajectory | Alignment Robustness Trajectory | analysis | — |
| capability-alignment-race | Capability-Alignment Race Model | analysis | — |
| carlsmith-six-premises | Carlsmith's Six-Premise Argument | analysis | — |
| defense-in-depth-model | Defense in Depth Model | analysis | — |
| frontier-lab-cost-structure | Frontier Lab Cost Structure | analysis | — |
| goal-misgeneralization-probability | Goal Misgeneralization Probability Model | analysis | — |
| intervention-timing-windows | Intervention Timing Windows | analysis | — |
| planning-for-frontier-lab-scaling | Planning for Frontier Lab Scaling | analysis | — |
| pre-tai-capital-deployment | Pre-TAI Capital Deployment: $100B-$300B+ Spending Analysis | analysis | — |
| risk-activation-timeline | Risk Activation Timeline Model | analysis | — |
| safety-spending-at-scale | Safety Spending at Scale | analysis | — |
| short-timeline-policy-implications | Short Timeline Policy Implications | analysis | — |
| worldview-intervention-mapping | Worldview-Intervention Mapping | analysis | — |
| anthropic-valuation | Anthropic Valuation Analysis | analysis | — |
| deepmind | Google DeepMind | organization | — |
| far-ai | FAR AI | organization | — |
| lionheart-ventures | Lionheart Ventures | organization | — |
| mats | MATS ML Alignment Theory Scholars program | organization | — |
| safety-orgs-overview | AI Safety Organizations (Overview) | concept | — |
| ssi | Safe Superintelligence Inc (SSI) | organization | — |
| eliezer-yudkowsky | Eliezer Yudkowsky | person | — |
| __index__/knowledge-base/people | People | concept | — |
| paul-christiano | Paul Christiano | person | — |
| stuart-russell | Stuart Russell | person | — |
| agent-foundations | Agent Foundations | approach | — |
| ai-control | AI Control | safety-agenda | — |
| alignment-interpretability-overview | Interpretability (Overview) | concept | — |
| alignment | AI Alignment | approach | — |
| eval-saturation | Eval Saturation & The Evals Gap | approach | — |
| evaluation-awareness | Evaluation Awareness | approach | — |
| __index__/knowledge-base/responses | Safety Responses | concept | — |
| longterm-wiki | Longterm Wiki | project | — |
| mech-interp | Mechanistic Interpretability | approach | — |
| representation-engineering | Representation Engineering | approach | — |
| safety-cases | AI Safety Cases | approach | — |
| scalable-eval-approaches | Scalable Eval Approaches | approach | — |
| scheming-detection | Scheming & Deception Detection | approach | — |
| singapore-consensus | Singapore Consensus on AI Safety Research Priorities | policy | — |
| sparse-autoencoders | Sparse Autoencoders (SAEs) | approach | — |
| automation-bias | Automation Bias (AI Systems) | risk | — |
| existential-risk | Existential Risk from AI | concept | — |
| mesa-optimization | Mesa-Optimization | risk | — |
| reward-hacking | Reward Hacking | risk | — |
| rogue-ai-scenarios | Rogue AI Scenarios | risk | — |
| scheming | Scheming | risk | — |
| sharp-left-turn | Sharp Left Turn | risk | — |
| longtermwiki-value-proposition | LongtermWiki Value Proposition | concept | — |