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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 39560
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    references to users and customers in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ModelExpression
    -0.73
    AndroidJUnit
    -0.73
    GenerationType
    -0.68
     '{@
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    AddTagHelper
    -0.67
     PyTuple
    -0.66
     pinulongan
    -0.65
    ButterKnife
    -0.63
    XmlAccessType
    -0.61
    MigrationBuilder
    -0.61
    POSITIVE LOGITS
     guests
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     clients
    0.68
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    0.68
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     setia
    0.63
     pilgrims
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     customers
    0.62
    님
    0.62
    consumers
    0.62
     visitors
    0.61
    Activations Density 0.177%

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