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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 1178
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    references to brands and products in the context of marketing and consumer goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Normdatei
    -0.75
     propOrder
    -0.71
    homonymie
    -0.70
     <=",
    -0.70
    GenerationType
    -0.67
     فريبيس
    -0.60
    AnchorStyles
    -0.57
    日閲覧
    -0.56
    pushFollow
    -0.55
    Tembelea
    -0.54
    POSITIVE LOGITS
    ilever
    0.65
     brands
    0.64
    himu
    0.60
    Pepsi
    0.59
     packaging
    0.59
     Brands
    0.59
     Procter
    0.57
     packaged
    0.57
     FMC
    0.57
     Nestlé
    0.56
    Activations Density 0.139%

    No Known Activations