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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 8679
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    Explanations

    names of American football players and their statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    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
     kasarigan
    -0.51
    URLException
    -0.48
     defaultstate
    -0.45
     pol
    -0.45
    WithMany
    -0.44
     auprès
    -0.44
    ByVersion
    -0.44
    Personendaten
    -0.43
    ViewInit
    -0.43
    POSITIVE LOGITS
     NFL
    0.74
    NFL
    0.69
     Football
    0.64
     football
    0.64
    Football
    0.59
    football
    0.54
     FOOTBALL
    0.52
    🏈
    0.50
    nfl
    0.49
     quarterback
    0.42
    Activations Density 0.326%

    No Known Activations