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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 15115
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    Explanations

    references to airports and travel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElement
    -0.68
     autorytatywna
    -0.65
     محفوظة
    -0.61
    //
    -0.59
    RenderAtEndOf
    -0.57
     AppBundle
    -0.57
    <?
    -0.57
    ngdoc
    -0.57
     كورة
    -0.55
     propOrder
    -0.54
    POSITIVE LOGITS
     airport
    1.24
     airports
    1.16
     aeropuerto
    1.07
     Airport
    1.04
    airport
    0.98
     aeroporto
    0.96
     Airports
    0.93
    Airport
    0.91
     Aeropuerto
    0.90
     Flughafen
    0.89
    Activations Density 0.125%

    No Known Activations