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Researchers Crack Open GPT-OSS-20b to Find Hidden Symbol Systems Inside
An 8-year interpretability project shows that LLM representations can be closely approximated by symbolic role-filler structures, enabling precise behavioral edits.
Source
AlphaSignal
Published
Author
AlphaSignal Newsroom
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1 min read
An 8-year interpretability project shows that LLM representations can be closely approximated by symbolic role-filler structures, enabling precise behavioral edits.
Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.
