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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 17-GEMMASCOPE-RES-16K
    11. 1895
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    Explanations

    references to trendy urban areas and their food scenes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 17-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_17/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nucléaire
    -0.72
    ThroughAttribute
    -0.68
    المناصب
    -0.68
     larmes
    -0.63
     silenzio
    -0.63
     dianteiro
    -0.62
     fuite
    -0.61
     acrylique
    -0.61
     bereiken
    -0.60
     oublier
    -0.60
    POSITIVE LOGITS
     hipster
    1.15
     trendy
    0.96
     cowork
    0.86
     urban
    0.85
     artisanal
    0.83
     Instagram
    0.82
     Urban
    0.82
     artisan
    0.82
     barista
    0.80
     millennials
    0.78
    Activations Density 0.220%

    No Known Activations