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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 9372
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    Explanations

    references to Japanese culture and individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    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
    zyg
    -0.35
    numerusform
    -0.35
    簗
    -0.35
    廼
    -0.34
    樅
    -0.33
    
    -0.33
     Khartoum
    -0.32
     Tahoe
    -0.32
     culoare
    -0.32
    POSITIVE LOGITS
     Japanese
    1.64
     Japan
    1.63
    Japan
    1.45
     Japón
    1.42
     Jepang
    1.41
    Japanese
    1.38
     japan
    1.38
     япон
    1.35
     JAPAN
    1.35
     Japon
    1.34
    Activations Density 1.022%

    No Known Activations