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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 8387
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    Explanations

    elements related to medical conditions and emergencies, particularly focusing on injuries and health crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.65
     autorytatywna
    -0.63
    uride
    -0.62
    BibitemShut
    -0.62
    ńcu
    -0.61
    Autoritní
    -0.61
     oprot
    -0.59
     Baillargeon
    -0.59
    trische
    -0.59
     doubtnut
    -0.58
    POSITIVE LOGITS
     recovering
    0.57
     health
    0.56
     recuper
    0.54
     injured
    0.53
    recover
    0.51
    health
    0.50
    🤕
    0.47
     hospitals
    0.46
     recover
    0.46
     weak
    0.46
    Activations Density 0.239%

    No Known Activations