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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95022
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    INDEX
    Explanations

    names of vehicles, specifically models from the Volkswagen brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Volkswagen Group brands and models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     solitario
    -0.40
    Selfer
    -0.37
     Umum
    -0.37
    DockStyle
    -0.35
     porcelana
    -0.35
    pushFollow
    -0.35
     artificiales
    -0.35
     Ông
    -0.34
     Patrimonio
    -0.34
     likewise
    -0.34
    POSITIVE LOGITS
    AsUp
    0.60
    Volkswagen
    0.57
     Skoda
    0.54
    volkswagen
    0.54
     gti
    0.54
     Passat
    0.53
     volkswagen
    0.53
     dsg
    0.52
     Volkswagen
    0.52
    contentLoaded
    0.52
    Activations Density 0.029%

    No Known Activations