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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. 5879
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    Explanations

    references to Japanese culture, names, and institutions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Chimp
    -0.51
     IANS
    -0.48
    TIMORE
    -0.48
    undu
    -0.47
    ibra
    -0.47
    thunk
    -0.47
    tanooga
    -0.46
     Zim
    -0.46
    Aktualisiert
    -0.46
    itability
    -0.46
    POSITIVE LOGITS
     Japão
    0.97
     japon
    0.91
     Japón
    0.90
     Japon
    0.90
     Japan
    0.89
    Japan
    0.87
     Giappone
    0.83
     japan
    0.82
     japonais
    0.81
     giapp
    0.81
    Activations Density 0.281%

    No Known Activations