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Configuration, Not Conscience: A Large-Scale Empirical Study of LLM System Prompts
Leaked system prompts are often treated as windows into the hidden values of commercial language models, yet their composition is rarely studied at scale. We analyze a merged corpus of 407 leaked, reconstructed, or officially published system prompts from 62 vendors across four community collections
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