MURANO: Design, Run, and Reproduce Mechanistic Interpretability Experiments as Composable Pipelines

arXiv:2608.30662 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/UKPLab/murano

Project page: https://ukplab.github.io/murano/https://pypi.org/project/murano-interp

Terminology

• Interpretability — 18× in this paper · explained in 15 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Steering — 11× in this paper · explained in 2 episodes
• Core — 9× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Decode — 3× in this paper · explained in 2 episodes
• alpha — 3× in this paper · explained in 1 episode
• Ablation — 2× in this paper · explained in 1 episode
• Activation Patching — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• nnterp: A Standardized Interface for Mechanistic Interpretability of Transformers
• NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
• Localizing Model Behavior with Path Patching
• A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
• Gemma 2: Improving Open Language Models at a Practical Size
• Llama 2: Open Foundation and Fine-Tuned Chat Models

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