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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9372
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    references to Japanese culture and language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    حوالہ
    -0.39
    簗
    -0.36
    numerusform
    -0.36
     estekak
    -0.35
    didSet
    -0.35
    廷
    -0.34
     Kofi
    -0.34
    樅
    -0.34
    цездатний
    -0.34
     Khartoum
    -0.33
    POSITIVE LOGITS
     Japanese
    1.52
     Japan
    1.52
     Japón
    1.34
    Japan
    1.34
     Jepang
    1.33
     japan
    1.28
    Japanese
    1.27
     япон
    1.25
     JAPAN
    1.25
     japanese
    1.24
    Activations Density 0.996%

    No Known Activations