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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9270
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    Explanations

    references to sports engagement and participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ineno
    -0.45
     AssemblyCompany
    -0.42
    Legături
    -0.41
    出版年
    -0.41
     MainAxisSize
    -0.40
    Externé
    -0.39
    XmlAccessorType
    -0.38
    Referanser
    -0.37
    XMLSchema
    -0.37
    RTLI
    -0.37
    POSITIVE LOGITS
     sports
    3.44
     sport
    3.16
    sports
    2.98
     Sports
    2.97
    Sports
    2.88
     Sport
    2.81
    sport
    2.80
     SPORTS
    2.75
    Sport
    2.69
     sporting
    2.67
    Activations Density 0.478%

    No Known Activations