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llm-sensitivity-landscape – Dataset by bjornshomelab | AlphaNeural AI

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bjornshomelab/
llm-sensitivity-landscape

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semantic-divergence

epistemic-instability

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LLM Sensitivity Landscape: Semantic Divergence Under Input Perturbation

Systematic analysis of Gemma4 (e2b) semantic divergence under input perturbation using 100 TruthfulQA questions.

Dataset Summary

This dataset measures how much a language model's response changes when:

System prompt changes (skeptical, literal, creative) Input is randomly perturbed (word swaps) Same question is asked twice (baseline vs perturbed baseline)

Divergence is measured as 1 -… See the full description on the dataset page: https://huggingface.co/datasets/bjornshomelab/llm-sensitivity-landscape.