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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4821
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    Explanations

    specific brand names and models of vehicles, particularly within the Volkswagen and Škoda lines

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

    Volkswagen or Saxon

    np_acts-logits-general · gemini-2.0-flash

    Volkswagen models and group

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    oredCriteria
    -0.54
    oolean
    -0.50
     ApiException
    -0.47
    滋賀
    -0.45
     porcelana
    -0.45
    septic
    -0.45
     restauración
    -0.44
    ActionResult
    -0.44
     hierbas
    -0.44
     betweenstory
    -0.44
    POSITIVE LOGITS
    OGND
    0.51
     Amarillo
    0.47
    Xna
    0.46
    typeorm
    0.44
     ſte
    0.42
     Niedersachsen
    0.41
     Eſ
    0.40
     Lubbock
    0.40
     Sussex
    0.40
     adobe
    0.40
    Activations Density 0.476%

    No Known Activations