claude

nnterp

Architecture-agnostic interpretability with nnterp, a layer on nnsight that gives every transformer family the same module names and standard values - usage of the values, recipes that run unchanged across families, and extending it with a new family

15 on GitHubby NDIF Teamv0.1.0MITupdated yesterday
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Plugin nnterp from marketplace ndif-team in ndif-team/skills. Commands read from the repo's manifest — yesterday.

What it installs

Skills (3)

  • extending

    Extend nnterp when a checkpoint or value is outside what it ships. Load for a model_type with no family ("no family" warning, UnsupportedFamily); a family whose attention_output, mlp_output or pattern the base classes locate wrongly (sandwich norms, residual added inside, own attention arithmetic, s

  • nnterp

    Write interpretability code once on nnterp's StandardizedTransformer and run it on its 98 transformer families (GPT-2, Llama, Qwen, Gemma, OLMo, Granite, DeepSeek, DeltaNet and Mamba hybrids, 39 MoE families) and on vision-language models loaded with task="image-text-to-text" (model.vision, the towe

  • patterns

    Run an interpretability technique against nnterp's standard values so the recipe is written once and runs on every transformer family: logit lens, direct logit attribution, attention-pattern analysis, ablation (zero, mean, heads, skip_layers, experts), activation patching, steering, probing, cross-f

View source on GitHub

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