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1 December 2025 Preprint Computational Cognition

Genre Mimicry vs. Ethical Reasoning in Abliterated Language Models

Murad Farzulla

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Abstract

When safety fine-tuning is removed from language models ('abliteration'), the resulting behavior reveals important distinctions between learned genre conventions and genuine ethical reasoning. This paper analyzes how abliterated models respond to adversarial prompts, demonstrating that much apparent 'alignment' reflects pattern matching rather than robust ethical judgment.

Suggested citation

Murad Farzulla (2025). Genre Mimicry vs. Ethical Reasoning in Abliterated Language Models. Dissensus Working Paper DAI-2516. DOI: 10.5281/zenodo.17957693

Methodology

Safety fine-tuning analysis RLHF limitations Genre pattern detection

Topics

AI Safety