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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 4616
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    Explanations

    references to tolls and toll-like receptors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    öffentlichungen
    -0.83
    myapplication
    -0.82
    paccio
    -0.79
    phorbia
    -0.77
    chyma
    -0.72
     cardiaque
    -0.71
    hloromethane
    -0.69
    fragments
    -0.68
     Vecchio
    -0.67
    IATION
    -0.66
    POSITIVE LOGITS
     Toll
    1.69
     toll
    1.63
    Toll
    1.54
     tolls
    1.50
    toll
    1.30
     tol
    1.18
     TOL
    1.12
     Tol
    1.08
    tol
    1.02
    Tol
    0.93
    Activations Density 0.009%

    No Known Activations