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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 41788
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    INDEX
    Explanations

    specific types of vehicles, particularly station wagons and diesel engines

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    station wagons, Allure, adventure tour

    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
    Negative Logits
    OGND
    -0.54
     AssemblyCulture
    -0.50
     DbType
    -0.50
     فريبيس
    -0.49
    IndentedString
    -0.48
     beginnetje
    -0.46
    SocketAddress
    -0.45
    agisse
    -0.45
    suya
    -0.45
    WebElementEntity
    -0.45
    POSITIVE LOGITS
     sekal
    0.35
    goto
    0.35
    KURZBESCHREIBUNG
    0.34
    のかも
    0.34
     granja
    0.33
    textTheme
    0.31
     уго
    0.31
    denk
    0.31
    )"),
    0.31
    vensis
    0.31
    Activations Density 0.116%

    No Known Activations