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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 5391
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    blocks of code and programming structure elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     فريبيس
    -1.08
     Waſſer
    -0.94
    niſſe
    -0.94
     beſch
    -0.93
    Билгалдахарш
    -0.91
     للمعارف
    -0.91
     يتيمه
    -0.89
    <unused42>
    -0.88
    <unused41>
    -0.88
    [@BOS@]
    -0.88
    POSITIVE LOGITS
    //
    1.62
    <strong>
    1.38
    <b>
    1.11
     //
    1.05
     —
    0.96
    /
    0.94
    —
    0.88
    <!--
    0.71
    ,//
    0.68
    ///
    0.63
    Activations Density 0.266%

    No Known Activations