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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12486
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    Explanations

    names of people, particularly those associated with entertainment or sports

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    transQ
    -0.60
    parsedMessage
    -0.53
     betweenstory
    -0.52
    Autoritní
    -0.47
    évaluateur
    -0.47
    Personendaten
    -0.45
    ReusableCell
    -0.43
     fresas
    -0.43
     Denna
    -0.42
    лтамалар
    -0.42
    POSITIVE LOGITS
     FetchType
    0.46
     Hotspur
    0.46
    iennes
    0.46
     PhpStorm
    0.45
     فريبيس
    0.44
     Akufo
    0.43
    tagHelperRunner
    0.42
    #
    0.42
    migrationBuilder
    0.42
    opardy
    0.42
    Activations Density 0.745%

    No Known Activations