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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 102
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    names of individuals and institutions, particularly in academic and medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Stacy
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    -0.72
    Stav
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    sstream
    -0.65
    ArgsConstructor
    -0.64
    Stam
    -0.64
    toPromise
    -0.64
     Sumatra
    -0.61
     kulak
    -0.61
    Vinc
    -0.60
    POSITIVE LOGITS
     تضيفلها
    0.94
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    0.81
    Hozzáférés
    0.79
     ویکی‌پدیای
    0.78
    $_['
    0.74
    ChildScrollView
    0.73
    addGap
    0.73
    Activations Density 0.784%

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