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ndif-team AI Skills

GitHub ↗

Explorez les skills IA publiés de ndif-team et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

6

Étoiles des dépôts des skills indexés

36

Forks du dépôt

0

Moyenne des étoiles par skill indexé

6

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

6 skills

Explorer

GitHub

model-steering

ndif-team

Control model behavior through persistent edits and steering interventions. Use when modifying model outputs, applying steering vectors, or creating persistently modified model versions.

GitHub

causal-tracing

ndif-team

Causal mediation analysis to identify which model components mediate specific behaviors. Use when investigating how information flows through the network and which neurons or layers are causally responsible for...

GitHub

attribution-patching

ndif-team

Gradient-based approximation to activation patching for scalable circuit analysis. Use when activation patching is too slow or when analyzing many components simultaneously.

GitHub

activation-patching

ndif-team

Causal intervention via activation patching to identify important model components. Use when determining which layers, heads, or positions are causally responsible for model behavior.

GitHub

nnsight-basics

ndif-team

Core nnsight concepts for neural network interpretability. Use when setting up models, tracing activations, saving values, or making basic interventions on model internals.

GitHub

logit-lens

ndif-team

Decode intermediate layer predictions using the Logit Lens technique. Use when analyzing what a model predicts at each layer, understanding information flow, or visualizing layer-wise processing.

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.