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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14537
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    Explanations

    terms related to urban environments and urbanization

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 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
    Negative Logits
    sliding
    -0.45
    lido
    -0.43
    vou
    -0.42
    Климат
    -0.42
     Mitar
    -0.42
     disponibilités
    -0.41
    orro
    -0.41
    Chham
    -0.41
    Gambas
    -0.41
    ℕ
    -0.40
    POSITIVE LOGITS
     urban
    1.77
     Urban
    1.54
    Urban
    1.53
    urban
    1.41
     URBAN
    1.38
     urbanos
    1.34
    URBAN
    1.32
     urbano
    1.28
     urbanas
    1.22
     urbaine
    1.19
    Activations Density 0.187%

    No Known Activations