Research Scientist, Interpretability

Job summary

Responsibilities

When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"

• Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
• Design and run robust experiments, both quickly in toy scenarios and at scale in large models
• Create and analyze new interpretability features and circuits to better understand how models work.
• Build infrastructure for running experiments and visualizing results
• Work with colleagues to communicate results internally and publicly

Tech stack

• Python