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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3034
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    Explanations

    mentions of footwear, particularly shoes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wolfe
    -0.69
    rahman
    -0.68
     Wirth
    -0.65
    AddHtmlAttribute
    -0.61
     Parag
    -0.60
     genomen
    -0.60
     πάντα
    -0.59
    мум
    -0.58
    cccccc
    -0.57
    啶
    -0.55
    POSITIVE LOGITS
     shoes
    3.36
     shoe
    3.15
     Shoes
    2.98
     Shoe
    2.85
    shoes
    2.72
    Shoes
    2.68
    shoe
    2.60
     SHOES
    2.52
    Shoe
    2.50
     footwear
    2.24
    Activations Density 0.080%

    No Known Activations