mechinterp-summarizer
Convert experiment results to Markdown research notes and optionally update research state with evidence
浏览 cesaregarza 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
15收录技能的仓库 Stars 合计
15仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Convert experiment results to Markdown research notes and optionally update research state with evidence
Analyze SAE decoder weights - output influence, feature importance, and decoder similarity
Run credibility checks on feature interpretations including split-half stability and shuffle null tests
Reference skill for Splatoon ability families, AP rungs, token constraints, and domain rules for mechinterp experiments
Manage research state for SAE feature analysis including hypotheses, evidence tracking, and research history
Propose next mechanistic interpretability experiments based on research state, hypotheses, and existing evidence
Domain expert for Splatoon 3 competitive gear abilities and weapon meta. Use when: (1) Labeling or classifying gear build features from SAE analysis, (2) Understanding why specific ability combinations appear i...
Orchestrate a systematic research program to investigate and meaningfully label SAE features
Manage feature labeling workflow - queue management, label storage, similar features, progress tracking
Quick "first look" overview of SAE features - top tokens, activation stats, weapons, families, sample contexts
Reference catalog of recurring SAE feature patterns - check when labeling new features, add new patterns as discovered
Analyze relationships across multiple SAE features - co-activation patterns, shared drivers, and subsystem identification
Execute mechanistic interpretability experiments from JSON specs - family sweeps, itemsets, interactions, minimal cores, validation
Match SAE features between Ultra (24K) and Full (2K) models based on activation patterns and token overlap
Reference for ability family semantic groupings and gameplay meanings
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。