Advanced

Mechanistic Interpretability: Features, Circuits, and SAEs

Reverse-engineering what a network computes: features as directions, circuits that combine them, superposition, and sparse autoencoders that unpack it.

Unlock the full curriculum — ₹2,000 / $25every answer + every concept + both full courses · 6 months · no auto-renew

RELATED CONCEPTS

The Transformer Architecture Attention and Self-Attention AI Governance Frameworks

PRACTICE THIS IN REAL QUESTIONS

AI Security, Privacy & GovernanceDesign an evaluation and guardrail stack for an LLM feature: jailbreaks, toxicity, and hallucination.→AI Security, Privacy & GovernanceWhat is red teaming for an LLM application, and how do you structure it before launch?→System Design for AI in ProductionDesign a text-to-image generation service (Midjourney/DALL-E-like) at scale.→AI Security, Privacy & GovernanceHow do you actually implement input and output guardrails for an LLM application?→LLM & GenAI FundamentalsWhat is jailbreaking, what are the common techniques, and how do you defend against it?→AI Security, Privacy & GovernanceHow do you detect out-of-distribution inputs, and why does it matter for safe deployment?→

COMPANIES THAT ASSUME THIS

Anthropic IBM Hippocratic AI Abridge SSI (Safe Superintelligence)Capital One

NEXT IN AI SECURITY, PRIVACY & GOVERNANCEAI Governance Frameworks→