Interpretability Researcher
Main mission
Understands the internal workings of models to make them interpretable and predictable.
5 key responsibilities
- Develop methods to visualize and understand the internal representations of models.
- Identify circuits and mechanisms responsible for given behaviors.
- Build analysis tools usable by other teams.
- Publish and confront results with the scientific community.
- Translate discoveries into safety and product implications.
Key skills
Mechanistic interpretability, linear algebra, PyTorch, visualization, scientific method.
What's expected
Transform models from black boxes to analyzable systems: verifiable explanations, not intuitions.
Career paths
Interpretability Research Lead, Safety & Alignment Researcher, scientific leadership.
Openings right now
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