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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4527
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    names and titles associated with sports and their athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Спољашње
    -0.40
     Vikipedi
    -0.39
     cantit
    -0.39
     Vance
    -0.38
    ույ
    -0.38
     Gef
    -0.37
    tigs
    -0.37
    LIBR
    -0.36
     INTE
    -0.36
     feu
    -0.35
    POSITIVE LOGITS
     scrum
    0.94
     rugby
    0.85
     Rugby
    0.83
    Rugby
    0.79
    rugby
    0.75
     Scrum
    0.72
    🏉
    0.70
     flan
    0.67
     prop
    0.63
    الحياه
    0.60
    Activations Density 0.088%

    No Known Activations