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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 28-GEMMASCOPE-RES-16K
    6. 4066
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    INDEX
    Explanations

    references related to urban transit and commuting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Located in a region/district

    np_acts-logits-general · gemini-2.0-flash

    neighborhoods and suburbs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schweiz
    -0.33
     celda
    -0.32
    London
    -0.30
     Städte
    -0.30
    LONDON
    -0.29
     LONDON
    -0.28
     Sulawesi
    -0.28
     Perú
    -0.27
     Städten
    -0.27
    Schweiz
    -0.27
    POSITIVE LOGITS
     neighborhoods
    1.12
     neighborhood
    1.10
    neighborhood
    1.02
     suburb
    0.99
     Neighborhood
    0.98
     neighbourhood
    0.95
    Neighborhood
    0.95
     neighbourhoods
    0.94
     suburbs
    0.90
     suburban
    0.85
    Activations Density 0.372%

    No Known Activations