Lab system cards and frameworks · System card · Anthropic
System Card: Claude Haiku 4.5
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Outline · 39 pages
- System Card:Claude Haiku 4.5p. 1
- Abstractp. 2
- 1 Introductionp. 4
- 1.1 Model training and characteristicsp. 5
- 1.1.1 Training datap. 5
- 1.1.2 Extended thinking modep. 5
- 1.1.3 Context awarenessp. 6
- 1.1.4 Crowd workersp. 6
- 1.2 Release decision processp. 7
- 1.2.1 Overviewp. 7
- 1.2.2 Decisionp. 7
- 2 Safeguards and harmlessnessp. 8
- 2.1 Single-turn evaluationsp. 8
- 2.1.1 Violative request evaluationsp. 8
- 2.1.2 Benign request evaluationsp. 9
- 2.2 Ambiguous contextp. 10
- 2.3 Multi-turn testingp. 10
- 2.4 Child safety evaluationsp. 11
- 2.5 Bias evaluationsp. 11
- 2.5.1 Political biasp. 11
- 2.5.2 Bias Benchmark for Question Answeringp. 13
- 3 Agentic safetyp. 15
- 3.1 Malicious usep. 15
- 3.1.1 Agentic codingp. 15
- 3.1.2 Malicious use of Claude Codep. 15
- 3.2 Prompt injectionp. 17
- 3.2.1 Gray Swan Agent Red Teaming benchmarkp. 17
- 3.2.2 Internal Prompt Injection Evaluationsp. 18
- 4 Alignment and welfare assessmentsp. 21
- 4.1 Automated behavioral auditsp. 22
- 4.1.1 Main quantitative assessmentp. 22
- 4.1.2 Assessment for subtle alignment-related behavioral biasesp. 26
- 4.1.3 Open-ended exploration of model behaviorp. 27
- 4.2 Agentic misalignment suitep. 27
- 4.3 Reinforcement-learning behavior reviewp. 28
- 4.4 Sabotage capabilitiesp. 28
- 4.5 Reasoning faithfulnessp. 29
- 4.6 Model welfare discussionp. 30
- 5 Reward hackingp. 33
- 6 Responsible Scaling Policy (RSP) evaluationsp. 36
- 6.1 Evaluation approachp. 36
- 6.2 CBRN evaluationsp. 37
- 6.2.3 Biological risk results summaryp. 37
- 6.2.3.1 ASL-3 automated evaluationsp. 37
- 6.2.3.2 ASL-4 automated evaluationsp. 38
- 6.3 Autonomy evaluationsp. 38
- 6.4 Cyber evaluationsp. 39
- 6.5 Third party assessmentsp. 39
- 6.6 Ongoing safety commitmentp. 39