Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.
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Updated
Apr 22, 2025 - Jupyter Notebook
Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.
Lightweight mechanistic interpretability dataflow operations for agent developers.
Implementation and analysis of Sparse Autoencoders for neural network interpretability research. Features interactive visualization dashboard and W&B integration.
Training and exploration of linear probes into Othello-GPT by Li et al. (2022)
A Flax-based library for examining transformers, based on TransformerLens.
Reverse engineering the circuit responsible for the "greater than" capability in a language model
Testing role-based pathways on small LLMs
(a1)Mechanistic Interpretability using Transformer Lens (a2) PEFT
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