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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1736
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    references to the English language and its proficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Normdatei
    -0.44
     AssemblyCulture
    -0.41
     newBuilder
    -0.38
     vítima
    -0.36
     @"/
    -0.36
    migrationBuilder
    -0.35
    Personensuche
    -0.35
     hikariConfig
    -0.34
    __(/*!
    -0.34
    ViewImports
    -0.32
    POSITIVE LOGITS
     language
    1.04
    language
    0.92
    speaking
    0.90
     Language
    0.90
     speaking
    0.85
     Speaking
    0.79
    Language
    0.77
     LANGUAGE
    0.77
    anguage
    0.75
    Speaking
    0.74
    Activations Density 0.217%

    No Known Activations