piotrwilam/Atlas2x2

Atlas2x2 Frozen experimental artifacts for the paper What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations (Wilam, 2026). A cross-model, cross-language mechanistic-interpretability study: neural circuits for 58 testable Python + 57 testable Rust concepts in Qwen2.5-Coder-7B (28 layers) and DeepSeek-Coder-V1-6.7B (32 layers) — the minimum 2×2 design that lets us ask whether what earns dedicated circuitry, where it lives, and how… See the full description on the dataset page: https://huggingface.co/datasets/piotrwilam/Atlas2x2.

<iframe src="https://silytics.si/embed/item/85e5f43a-b4c2-438c-bc77-8d6a6a27720a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.