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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11556
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    technical parameters associated with system configuration and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    idance
    -0.61
    PyExc
    -0.61
    quelize
    -0.60
     виправивши
    -0.59
    MENAFN
    -0.57
    DoubleQuotes
    -0.57
    rosh
    -0.56
    Демографія
    -0.55
     SafeMath
    -0.55
    InputTagHelper
    -0.54
    POSITIVE LOGITS
    />
    0.65
     />
    0.59
    〉
    0.56
    ＞
    0.53
    :][
    0.53
     cref
    0.53
    migrationBuilder
    0.53
    ...>
    0.51
    はじめに
    0.50
    >
    0.49
    Activations Density 0.549%

    No Known Activations