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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14461
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    Explanations

    terms related to urban areas and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spéciaux
    -0.71
    laubnis
    -0.66
     Alamo
    -0.65
     chileno
    -0.65
     bateaux
    -0.63
     Hezbollah
    -0.63
     yamaha
    -0.62
    chtenstein
    -0.62
     yağı
    -0.62
     boats
    -0.61
    POSITIVE LOGITS
     urban
    1.75
     Urban
    1.50
    urban
    1.48
    Urban
    1.41
     URBAN
    1.37
    URBAN
    1.36
     urbano
    1.19
     metropolitan
    1.13
     urbanization
    1.09
     urb
    1.09
    Activations Density 0.114%

    No Known Activations