Efficient Mechanistic Circuit Analysis of Open-Weight LLMs on Apple Silicon

Replication and extension of the GPT-2 Small IOI circuit analysis on Llama-3.2-3B and Pythia-1.4B using an MLX activation-patching harness on a single Apple Silicon machine. Circuits are faithful on the standard single-template dataset (F=0.663 and 0.854) but collapse on a 15-template dataset (0.228 and -0.028) while both models continue to perform the task above 90% of their original logit difference. Single-template IOI circuits are properties of a sentence frame rather than of the task.

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Publication Details

Journal
Open MIND
Published
2026-08-14
DOI
https://doi.org/10.5281/zenodo.21906706
Primary Topic
Evolutionary Algorithms and Applications
Type
preprint
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preprint

Efficient Mechanistic Circuit Analysis of Open-Weight LLMs on Apple Silicon

J. Melton
Open MIND
Evolutionary Algorithms and Applications
preprint

Efficient Mechanistic Circuit Analysis of Open-Weight LLMs on Apple Silicon

J. Melton
preprint en

Abstract

Replication and extension of the GPT-2 Small IOI circuit analysis on Llama-3.2-3B and Pythia-1.4B using an MLX activation-patching harness on a single Apple Silicon machine. Circuits are faithful on the standard single-template dataset (F=0.663 and 0.854) but collapse on a 15-template dataset (0.228 and -0.028) while both models continue to perform the task above 90% of their original logit difference. Single-template IOI circuits are properties of a sentence frame rather than of the task.

Open MIND
American Standard (United States) (US)
Evolutionary Algorithms and Applications
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Efficient Mechanistic Circuit Analysis of Open-Weight LLMs on Apple Silicon — J. Melton · Open MIND (2026) | TGRS Research Map | TGRS