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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 49
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    Explanations

    references to sports and athletic activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 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
     mView
    -0.44
     vidro
    -0.43
    guém
    -0.41
    sklä
    -0.40
    Då
    -0.40
    kwij
    -0.40
     Pineda
    -0.39
     midwife
    -0.38
     Nix
    -0.38
     Glance
    -0.38
    POSITIVE LOGITS
     sport
    0.79
    sport
    0.78
    Sport
    0.78
     SPORT
    0.75
     Sport
    0.74
    Sports
    0.71
    sports
    0.68
    Sporting
    0.67
    Spor
    0.63
     sportsman
    0.63
    Activations Density 0.157%

    No Known Activations