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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 13478
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    INDEX
    Explanations

    mentions of the name "Ramona" and references to LinkedIn

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    metis
    -0.52
     faune
    -0.52
    ForRow
    -0.51
    věř
    -0.50
    ToLeft
    -0.50
     peur
    -0.50
     générer
    -0.49
     répondu
    -0.49
     consejo
    -0.48
     trattato
    -0.48
    POSITIVE LOGITS
    |}{\
    0.83
    BindingResult
    0.75
    amssymb
    0.73
    ']){
    0.73
    rona
    0.71
    UnknownFields
    0.70
    Попис
    0.69
    >")
    0.69
    ")){
    0.69
    unsplash
    0.67
    Activations Density 0.059%

    No Known Activations