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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9910
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    Explanations

    names of athletes and references to sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.64
    transQ
    -0.54
    PMailer
    -0.54
    endregion
    -0.49
    InjectAttribute
    -0.49
    PyExc
    -0.45
     defaultstate
    -0.43
    WindowConstants
    -0.43
    듈
    -0.43
     fiber
    -0.43
    POSITIVE LOGITS
    riezmann
    0.65
     enfans
    0.51
     дописавши
    0.49
    بوابة
    0.49
    ViewById
    0.41
     Meksiku
    0.41
    berdayakan
    0.40
     feroit
    0.39
     saites
    0.38
     península
    0.38
    Activations Density 0.315%

    No Known Activations