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Stealing Part of a Production Language Model

The first extraction of actual weights from a production LLM, recovering the final layer through API logit access and forcing interface changes at OpenAI and Google.

model stealingproduction llmapi

Research question

Can any parameters of a black-box production LLM be recovered through its API?

Key findings

  • The embedding projection layer of OpenAI's ada and babbage models was recovered for under $20 in queries - Hidden dimension size of gpt-3.5-turbo was inferred; OpenAI and Google patched the logit-bias interface

Sources

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