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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 13118
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    INDEX
    Explanations

    brand names and product categories in a commercial context

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

    Brands or manufacturers

    np_acts-logits-general · gemini-2.0-flash

    brands and products

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     المعيارى
    -0.54
     telefónica
    -0.42
    ChildScrollView
    -0.42
     feroit
    -0.40
    envolvimento
    -0.39
     SEDS
    -0.38
     Fotografía
    -0.38
     empleos
    -0.38
     quidem
    -0.38
     sàng
    -0.38
    POSITIVE LOGITS
     brands
    0.98
     brand
    0.89
     products
    0.76
    brands
    0.75
    brand
    0.73
     marchio
    0.72
    品牌
    0.71
     manufacturer
    0.70
    branded
    0.70
    Brands
    0.69
    Activations Density 0.325%

    No Known Activations