Skill UI

TransformerLens is the standard library for performing mechanistic interpretability research on large language models. It provides clean interfaces to inspect and manipulate transformer internals—such as attention patterns, residual streams, and MLP outputs—via activation caching and HookPoints. This tool is essential for reverse-engineering model algorithms, performing causal tracing, and studying the internal circuits responsible for model behavior.

This guide helps researchers determine if their study—particularly in clinical neurology or translational neuroscience—meets the high standards of leading journals like Brain. It provides detailed insights into required mechanistic depth, evidence types (e.g., genetics, biomarkers), appropriate reporting guidelines (STROBE, CONSORT, PRISMA), and common desk-reject expectations. It is a venue-fit aid, detailing the scientific rigor needed for submission.

A comprehensive guide designed to assess whether a molecular or translational oncology study meets the high standards of a top-tier journal like Cancer Cell. It helps researchers critically evaluate their work's mechanistic depth and translational relevance, providing actionable steps before investing in full manuscript submission.

This guide helps authors assess if their host-microbe or microbiome study meets the high mechanistic and significance standards required for top-tier journals. It covers scope fit, required level of mechanistic depth (beyond mere correlation), necessary in vivo validation, and adherence to specific journal formats like STAR Methods.

This skill guides authors to evaluate if their mechanistic immunology study meets the high standards of the journal Immunity. It serves as a comprehensive pre-submission checklist, detailing required evidence (in vivo validation, single-cell genomics, multi-omic data), necessary mechanistic depth, structural requirements, and strict submission guidelines to ensure the core advance is the immune mechanism.