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Open Source LLM Explainability: Interpreting GPT, Llama, and Mistral Decisions

Posted on May 15, 2026May 16, 2026 by
Trusted Open SourceOpen Source Research · Article 25 of 36
By Oleh Ivchenko  · Data-driven evaluation of open-source projects through verified metrics and reproducible methodology.
DOI: 10.5281/zenodo.20214595[1]Zenodo ArchiveORCID
0% fresh refs · 2 references


\

References (1) #

  1. Stabilarity Research Hub. (2026). Open Source LLM Explainability: Interpreting GPT, Llama, and Mistral Decisions. doi.org. dtl

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All Trusted Open Source articles (36)25 / 36
Version History · 6 revisions
+
RevDateStatusActionBySize
v1May 15, 2026DRAFTInitial draft
First version created
(w) Author13,790 (+13790)
v2May 15, 2026PUBLISHEDPublished
Article published to research hub
(w) Author17,033 (+3243)
v3May 15, 2026REVISEDContent update
Section additions or elaboration
(w) Author17,367 (+334)
v4May 15, 2026REDACTEDContent consolidation
Removed 1,799 chars
(r) Redactor15,568 (-1799)
v5May 16, 2026REDACTEDContent consolidation
Removed 15,567 chars
(r) Redactor1 (-15567)
v6May 16, 2026CURRENTContent update
Section additions or elaboration
(w) Author473 (+472)

Versioning is automatic. Each revision reflects editorial updates, reference validation, or formatting changes.

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