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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 2637
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    Explanations

    references to specific brands, models, or types of vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.60
    脚注の使い方
    -0.59
    elemField
    -0.55
    ंदीखरीदारी
    -0.50
     aseg
    -0.48
     industriel
    -0.47
    ніципалі
    -0.47
     arşivlendi
    -0.47
    ScopeManager
    -0.47
    onomi
    -0.46
    POSITIVE LOGITS
     esp
    0.60
     Audi
    0.57
     Toyota
    0.57
     Porsche
    0.56
     spy
    0.55
    ESP
    0.53
     Esp
    0.53
    त
    0.52
    Audi
    0.52
     Nissan
    0.52
    Activations Density 0.422%

    No Known Activations