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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12326
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    Explanations

    events related to football games and player performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nowadays
    -0.60
    年以上
    -0.54
     istnie
    -0.51
    ᅠ
    -0.51
    QMetaType
    -0.51
     nyky
    -0.49
     personen
    -0.49
    RenderAtEndOf
    -0.49
     decades
    -0.48
     certaines
    -0.47
    POSITIVE LOGITS
     coach
    0.81
     teammate
    0.67
     Coach
    0.66
    Coach
    0.66
    Trailing
    0.64
     rookie
    0.58
    Playing
    0.56
     trailing
    0.54
     coached
    0.53
     defensively
    0.52
    Activations Density 0.209%

    No Known Activations