Official code for the paper: "Simple LLM Baselines are Competitive for Model Diffing"
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Updated
Feb 13, 2026 - Python
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model-diffing
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Layerwise diagnostic showing instruction-tuned LLMs settle on next-token predictions later.
reproducibility large-language-models instruction-tuning mechanistic-interpretability llm-interpretability model-diffing tuned-lens convergence-gap
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May 8, 2026 - Python
Mechanistic interpretability research for studying how instruction tuning restructures the computational pipeline of language models
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May 11, 2026 - Python
Cross-patching diagnostic showing instruction-tuned late effects depend on upstream state.
reproducibility large-language-models instruction-tuning mechanistic-interpretability activation-patching llm-interpretability model-diffing cross-patching
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Updated
May 8, 2026 - Python
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