The AI Debugger: How Anthropic Reverse-Engineers Claude's Mind
The AI Debugger: How Anthropic Reverse-Engineers Claude's Mind AI Security Research // Deep Dive The AI Debugger: How Anthropic Reverse-Engineers Claude's Mind From circuit tracing and attribution graphs to sleeper agent detection and Claude Code Security — a comprehensive breakdown of Anthropic's multi-layered approach to debugging, auditing, and securing AI systems. March 2026 | Reading Time: ~18 min | AppSec & AI Safety TL;DR — Anthropic doesn't just build LLMs. They build microscopes to look inside them. Their research stack spans mechanistic interpretability (circuit tracing, attribution graphs, cross-layer transcoders), alignment auditing (sleeper agent probes, sycophancy detection, alignment faking research), and production-grade defensive tooling (Claude Code Security, Constitutional Classifiers++). This article maps the entire debugging pipeline from neuron-level inspection to enterprise vul...