iug-htw/GPTAndPrejudice
Research framework for training and interpreting a custom GPT-style language model on 19th-century literature using Sparse Autoencoders (SAEs). This project introduces a reproducible framework for probing how language models encode social and moral concepts across transformer layers, combining quantitative evaluation with layer-wise concept mapping
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Jan 19, 2026
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