Skip to content
Longterm Wiki has not been actively maintained since May 2026. Some data is still updated occasionally, but please don't rely on this site being current or accurate.
Longterm Wiki

Circuit Breakers / Inference Interventions

circuit-breakersapproachPath: /knowledge-base/responses/circuit-breakers/
E478Entity ID (EID)
← Back to page1 backlinksQuality: 64Updated: 2026-01-28
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
{
  "id": "circuit-breakers",
  "wikiId": "E478",
  "path": "/knowledge-base/responses/circuit-breakers/",
  "filePath": "knowledge-base/responses/circuit-breakers.mdx",
  "title": "Circuit Breakers / Inference Interventions",
  "quality": 64,
  "readerImportance": 42.5,
  "researchImportance": 38,
  "tacticalValue": null,
  "contentFormat": "article",
  "causalLevel": null,
  "lastUpdated": "2026-01-28",
  "dateCreated": "2026-02-15",
  "summary": "Circuit breakers are runtime safety interventions that detect and halt harmful AI outputs during inference. Gray Swan's representation rerouting achieves 87-90% rejection rates with 1% capability loss, while Anthropic's Constitutional Classifiers block 95.6% of jailbreaks with 0.38% over-refusal increase. However, the UK AISI challenge found all 22 tested models eventually broken (62K/1.8M attempts succeeded), and novel token-forcing attacks achieve 25% success rates, highlighting fundamental limitations of reactive defenses.",
  "description": "Circuit breakers are runtime safety interventions that detect and halt harmful AI outputs during inference.",
  "ratings": {
    "novelty": 4.5,
    "rigor": 7,
    "completeness": 7.5,
    "actionability": 6.5
  },
  "category": "responses",
  "subcategory": "alignment-interpretability",
  "clusters": [
    "ai-safety"
  ],
  "metrics": {
    "wordCount": 3224,
    "tableCount": 21,
    "diagramCount": 5,
    "internalLinks": 5,
    "externalLinks": 37,
    "footnoteCount": 0,
    "bulletRatio": 0.09,
    "sectionCount": 39,
    "hasOverview": true,
    "structuralScore": 15
  },
  "suggestedQuality": 100,
  "updateFrequency": 21,
  "evergreen": true,
  "wordCount": 3224,
  "unconvertedLinks": [
    {
      "text": "Anthropic Constitutional Classifiers",
      "url": "https://www.anthropic.com/research/constitutional-classifiers",
      "resourceId": "ce3ac91af6150e19",
      "resourceTitle": "Constitutional Classifiers: Defending Against Universal Jailbreaks"
    },
    {
      "text": "Gray Swan Cygnet-8B was jailbroken in 3 hours",
      "url": "https://www.lesswrong.com/posts/NAYyHimM3FaDYLvEH/breaking-circuit-breakers",
      "resourceId": "5aae8219a39515c4",
      "resourceTitle": "Breaking Circuit Breakers"
    },
    {
      "text": "Cygnet-8B broken in 3 hours",
      "url": "https://www.lesswrong.com/posts/NAYyHimM3FaDYLvEH/breaking-circuit-breakers",
      "resourceId": "5aae8219a39515c4",
      "resourceTitle": "Breaking Circuit Breakers"
    },
    {
      "text": "Constitutional Classifiers",
      "url": "https://www.anthropic.com/research/constitutional-classifiers",
      "resourceId": "ce3ac91af6150e19",
      "resourceTitle": "Constitutional Classifiers: Defending Against Universal Jailbreaks"
    },
    {
      "text": "Anthropic Constitutional Classifiers",
      "url": "https://www.anthropic.com/research/constitutional-classifiers",
      "resourceId": "ce3ac91af6150e19",
      "resourceTitle": "Constitutional Classifiers: Defending Against Universal Jailbreaks"
    },
    {
      "text": "Anthropic Constitutional Classifiers",
      "url": "https://www.anthropic.com/research/constitutional-classifiers",
      "resourceId": "ce3ac91af6150e19",
      "resourceTitle": "Constitutional Classifiers: Defending Against Universal Jailbreaks"
    },
    {
      "text": "Anthropic Research",
      "url": "https://www.anthropic.com/research/constitutional-classifiers",
      "resourceId": "ce3ac91af6150e19",
      "resourceTitle": "Constitutional Classifiers: Defending Against Universal Jailbreaks"
    },
    {
      "text": "Constitutional Classifiers",
      "url": "https://www.anthropic.com/research/constitutional-classifiers",
      "resourceId": "ce3ac91af6150e19",
      "resourceTitle": "Constitutional Classifiers: Defending Against Universal Jailbreaks"
    },
    {
      "text": "CAIS Research",
      "url": "https://safe.ai/",
      "resourceId": "a306e0b63bdedbd5",
      "resourceTitle": "Center for AI Safety (CAIS) – Homepage"
    },
    {
      "text": "JailbreakBench",
      "url": "https://jailbreakbench.github.io/",
      "resourceId": "f302ae7c0bac3d3f",
      "resourceTitle": "JailbreakBench: LLM robustness benchmark"
    }
  ],
  "unconvertedLinkCount": 10,
  "convertedLinkCount": 0,
  "backlinkCount": 1,
  "hallucinationRisk": {
    "level": "low",
    "score": 30,
    "factors": [
      "no-citations",
      "high-rigor",
      "conceptual-content"
    ]
  },
  "entityType": "approach",
  "redundancy": {
    "maxSimilarity": 19,
    "similarPages": [
      {
        "id": "output-filtering",
        "title": "AI Output Filtering",
        "path": "/knowledge-base/responses/output-filtering/",
        "similarity": 19
      },
      {
        "id": "refusal-training",
        "title": "Refusal Training",
        "path": "/knowledge-base/responses/refusal-training/",
        "similarity": 18
      },
      {
        "id": "representation-engineering",
        "title": "Representation Engineering",
        "path": "/knowledge-base/responses/representation-engineering/",
        "similarity": 17
      },
      {
        "id": "intervention-effectiveness-matrix",
        "title": "Intervention Effectiveness Matrix",
        "path": "/knowledge-base/models/intervention-effectiveness-matrix/",
        "similarity": 16
      },
      {
        "id": "sparse-autoencoders",
        "title": "Sparse Autoencoders (SAEs)",
        "path": "/knowledge-base/responses/sparse-autoencoders/",
        "similarity": 16
      }
    ]
  },
  "coverage": {
    "passing": 7,
    "total": 13,
    "targets": {
      "tables": 13,
      "diagrams": 1,
      "internalLinks": 26,
      "externalLinks": 16,
      "footnotes": 10,
      "references": 10
    },
    "actuals": {
      "tables": 21,
      "diagrams": 5,
      "internalLinks": 5,
      "externalLinks": 37,
      "footnotes": 0,
      "references": 3,
      "quotesWithQuotes": 0,
      "quotesTotal": 0,
      "accuracyChecked": 0,
      "accuracyTotal": 0
    },
    "items": {
      "summary": "green",
      "schedule": "green",
      "entity": "green",
      "editHistory": "red",
      "overview": "green",
      "tables": "green",
      "diagrams": "green",
      "internalLinks": "amber",
      "externalLinks": "green",
      "footnotes": "red",
      "references": "amber",
      "quotes": "red",
      "accuracy": "red"
    },
    "ratingsString": "N:4.5 R:7 A:6.5 C:7.5"
  },
  "readerRank": 354,
  "researchRank": 355,
  "recommendedScore": 153.39
}
External Links

No external links

Backlinks (1)
idtitletyperelationship
alignment-interpretability-overviewInterpretability (Overview)concept—