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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. 6964
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    Explanations

    references to athletes and athletics in general

    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
     GOS
    -0.71
     Brun
    -0.67
     lyn
    -0.65
    ępnie
    -0.64
    yab
    -0.64
     Rosen
    -0.63
     livs
    -0.62
     popular
    -0.61
    Enc
    -0.61
    ////////////////
    -0.61
    POSITIVE LOGITS
     athletes
    2.29
     athlete
    2.14
     Athletes
    2.03
     Athlete
    2.03
    athlete
    1.93
    athletes
    1.93
    Athlete
    1.79
    Ath
    1.46
     atletas
    1.44
     ATH
    1.36
    Activations Density 0.077%

    No Known Activations