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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4855
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    Explanations

    key details and attributes related to American football players and teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    发表于
    -0.57
    ほど
    -0.45
     pol
    -0.44
    ByVersion
    -0.43
    يكب
    -0.43
     peu
    -0.42
     kasarigan
    -0.42
     defaultstate
    -0.41
    imerick
    -0.41
    terea
    -0.41
    POSITIVE LOGITS
     NFL
    0.81
    NFL
    0.75
     football
    0.67
     Football
    0.67
    Football
    0.62
    football
    0.57
    nfl
    0.55
     FOOTBALL
    0.53
    🏈
    0.50
     whoſe
    0.47
    Activations Density 0.314%

    No Known Activations