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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8727
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    Explanations

    references to minerals in the context of health and nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدیا
    -0.88
    TagMode
    -0.70
    ciclopedia
    -0.62
     باب
    -0.62
    存于互联网档案馆
    -0.59
     autorytatywna
    -0.58
    
    -0.57
    jsonwebtoken
    -0.56
    OGND
    -0.56
    ValueGeneration
    -0.54
    POSITIVE LOGITS
     minerals
    0.98
     mineral
    0.77
     Minerals
    0.73
     minerales
    0.72
    mineral
    0.69
     sponsored
    0.69
     houſe
    0.68
     purpoſe
    0.66
     prefent
    0.66
    Mineral
    0.65
    Activations Density 0.062%

    No Known Activations