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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 21-GEMMASCOPE-RES-16K
    11. 1821
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    Explanations

    references to airports and travel-related logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_21/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    produksi
    -0.66
    (!__
    -0.64
    InjectAttribute
    -0.58
     apprenticeship
    -0.56
     mensuales
    -0.56
    SequentialGroup
    -0.54
     disambiguazione
    -0.53
     extérieurs
    -0.52
    UseVisualStyle
    -0.52
    vician
    -0.51
    POSITIVE LOGITS
     airport
    1.39
     luggage
    1.31
     passengers
    1.29
     baggage
    1.26
     airline
    1.22
     airports
    1.20
     airlines
    1.19
     Passengers
    1.17
     boarding
    1.15
     passenger
    1.15
    Activations Density 0.176%

    No Known Activations