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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13779
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    Explanations

    words related to unhealthy food and beverages, especially those marketed towards children

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DockStyle
    -0.77
    ArgsConstructor
    -0.62
    AndEndTag
    -0.61
    Enllaces
    -0.56
    sidemargin
    -0.55
     Malle
    -0.55
    NOPQRST
    -0.54
     виправивши
    -0.54
    rungsseite
    -0.52
     autorytatywna
    -0.52
    POSITIVE LOGITS
     drinks
    1.47
     drink
    1.41
     beverage
    1.41
     soda
    1.31
     beverages
    1.30
     Drinks
    1.24
     Drink
    1.21
    drinks
    1.18
    drink
    1.17
     Beverage
    1.16
    Activations Density 0.154%

    No Known Activations