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    np_max-act · gemini-2.0-flash

    The neuron fires most strongly on tokens that are part of document or code section titles and identifiers (e.g. book names, file‐format names, acronyms like “UBIFS” or “Quickbook”) rather than ordinary running text.

    oai_token-act-pair · o4-miniTriggered by @xinyanhu8
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    andyrdt/saes-llama-3.1-8b-instruct/resid_post_layer_11/trainer_1
    Dataset (Dashboard)
    Various
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Activations Density 0.268%

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