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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. 11438
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    INDEX
    Explanations

    information related to consumer behavior and demographic trends

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

    Spending habits and consumer behavior

    np_acts-logits-general · gemini-2.0-flash

    spending, habits, and lifestyle

    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
     intptr
    -0.65
    ThroughAttribute
    -0.60
    XmlAccessType
    -0.60
    RTLI
    -0.57
    Билгалдахарш
    -0.50
    CppMethod
    -0.49
     AssemblyCulture
    -0.47
    Erreferentziak
    -0.46
     ffilmiau
    -0.44
    maining
    -0.44
    POSITIVE LOGITS
     consommateurs
    0.48
     lifestyle
    0.48
     lifestyles
    0.47
     consumers
    0.47
     consumer
    0.46
     consume
    0.44
     consumes
    0.44
     consommate
    0.44
     Demographics
    0.40
     millennials
    0.40
    Activations Density 0.570%

    No Known Activations