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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14638
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    specific contextual elements or important numerical values within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IntoConstraints
    -0.75
    ConstraintMaker
    -0.71
     queſta
    -0.71
     ब्रेकडाउन
    -0.70
    KommentareTeilen
    -0.66
    MLLoader
    -0.65
     فريبيس
    -0.64
    NUMX
    -0.63
     autorytatywna
    -0.63
    httphttps
    -0.63
    POSITIVE LOGITS
    <bos>
    0.52
     and
    0.42
     
    0.40
    The
    0.40
    ,
    0.40
    (
    0.39
    A
    0.38
    <strong>
    0.38
    /
    0.37
    [
    0.37
    Activations Density 51.152%

    No Known Activations