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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. 15426
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    references to various types of medals, particularly in a sports context

    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
    bahasa
    -0.56
    TTE
    -0.56
    y
    -0.54
     eslint
    -0.54
    yim
    -0.52
     assume
    -0.51
    blu
    -0.51
    itaire
    -0.50
     Leland
    -0.50
    ly
    -0.50
    POSITIVE LOGITS
     medal
    2.84
     Medal
    2.59
     medals
    2.43
     Medals
    2.31
    medal
    2.25
    Medal
    2.23
     medallion
    1.61
     medalist
    1.53
     médaille
    1.52
     medalla
    1.43
    Activations Density 0.055%

    No Known Activations