GitHub
mechinterp-summarizer
Convert experiment results to Markdown research notes and optionally update research state with evidence
cesaregarza AI Skills
GitHub ↗Explorez les skills IA publiés de cesaregarza et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
15Étoiles des dépôts des skills indexés
15Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
mechinterp-decoder
Analyze SAE decoder weights - output influence, feature importance, and decoder similarity
GitHub
mechinterp-validation-suite
Run credibility checks on feature interpretations including split-half stability and shuffle null tests
GitHub
mechinterp-glossary-and-constraints
Reference skill for Splatoon ability families, AP rungs, token constraints, and domain rules for mechinterp experiments
GitHub
mechinterp-state
Manage research state for SAE feature analysis including hypotheses, evidence tracking, and research history
GitHub
mechinterp-next-step-planner
Propose next mechanistic interpretability experiments based on research state, hypotheses, and existing evidence
GitHub
splatoon3-meta
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...
GitHub
mechinterp-investigator
Orchestrate a systematic research program to investigate and meaningfully label SAE features
GitHub
mechinterp-labeler
Manage feature labeling workflow - queue management, label storage, similar features, progress tracking
GitHub
mechinterp-overview
Quick "first look" overview of SAE features - top tokens, activation stats, weapons, families, sample contexts
GitHub
mechinterp-patterns
Reference catalog of recurring SAE feature patterns - check when labeling new features, add new patterns as discovered
GitHub
mechinterp-cluster-mapper
Analyze relationships across multiple SAE features - co-activation patterns, shared drivers, and subsystem identification
GitHub
mechinterp-runner
Execute mechanistic interpretability experiments from JSON specs - family sweeps, itemsets, interactions, minimal cores, validation
GitHub
mechinterp-crossmodel-matcher
Match SAE features between Ultra (24K) and Full (2K) models based on activation patterns and token overlap
GitHub
mechinterp-ability-semantics
Reference for ability family semantic groupings and gameplay meanings
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.