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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15700
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    INDEX
    Explanations

    references to geographical locations and significant sites

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Street names or building locations

    np_acts-logits-general · gemini-2.0-flash

    downtown and urban locations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     perumahan
    -0.38
     suburban
    -0.35
     kebun
    -0.34
     hvě
    -0.33
     localidad
    -0.32
     granja
    -0.32
     ngoại
    -0.30
    Tikang
    -0.30
     Manor
    -0.30
     fazenda
    -0.30
    POSITIVE LOGITS
     downtown
    0.82
     Downtown
    0.77
    Downtown
    0.72
     square
    0.68
    downtown
    0.66
    SequentialGroup
    0.64
    Square
    0.63
     Square
    0.62
     fountain
    0.60
     plaza
    0.59
    Activations Density 0.236%

    No Known Activations