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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 7666
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    Explanations

    patient-related medical elements, specifically focusing on details about diseases, injuries, and medical studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    everywhere
    -0.83
     everywhere
    -0.81
     milliers
    -0.75
    ScopeManager
    -0.71
     gynhyrchwyd
    -0.71
    GEBURTS
    -0.68
     duiz
    -0.68
     utafitiHapana
    -0.67
     Everywhere
    -0.67
     centaines
    -0.67
    POSITIVE LOGITS
     apiece
    0.99
     each
    0.98
    分别是
    0.98
     namely
    0.88
    分别
    0.84
     totaling
    0.84
    分別
    0.81
    each
    0.79
     respectively
    0.78
     totalling
    0.78
    Activations Density 0.605%

    No Known Activations