What does this research mean for the field?

Maintaining a testable chain that links code-side repository objects to model-side neural sites enhances the utility and interpretability of an LLM atlas beyond a static neuron representation. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To formalize the linking of code-side objects with model-side neuron sites in a testable framework.

June 21, 2026Open Access

Mercury Repository-to-Neuron Addressability

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To formalize the linking of code-side objects with model-side neuron sites in a testable framework.
Introduced a methodology for linking various elements such as files, modules, layers, and dimensions in the Mercury context.
Developed a framework to visualize the connections within a large language model (LLM) atlas.
Proposed LLM atlas framework enables a more complex understanding of neuron relationships.
Demonstrated enhanced addressability of neurons through linked components, improving testability in neural modeling.

Implication

Methods paper formalizes address lift to enhance neuron modeling, suggesting improved connections for better analysis.

Abstract

A Mercury methods paper formalizing an address lift from code-side objects to model-side sites. The paper argues that an LLM atlas becomes more than a neuron picture when files, modules, layers, dimensions, heads, and measured sites remain linked in a testable chain. Copyright (c) 2026 Chen, Ho Yiing (norika). Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

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Cite This Study

Ho Yiing Chen (2026) studied this question.

synapsesocial.com/papers/6a3780b224f042ddf4c5ab3a https://doi.org/10.5281/zenodo.20757832

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Implication

Methods paper formalizes address lift to enhance neuron modeling, suggesting improved connections for better analysis.

Mercury Repository-to-Neuron Addressability

Key Points

Implication

Abstract

Discussion

Cite This Study

Mercury Repository-to-Neuron Addressability

Key Points

Implication

Abstract

Discussion

Cite This Study

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