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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 11536
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    INDEX
    Explanations

    references to specific sports events and achievements

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

    India or Indian entities

    np_acts-logits-general · gemini-2.0-flash

    Indian cities and industries

    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
     uș
    -0.45
     viață
    -0.42
     maș
    -0.37
     ști
    -0.37
     maneuver
    -0.36
     LABOR
    -0.36
     față
    -0.36
     favorably
    -0.34
     puteți
    -0.33
     plow
    -0.32
    POSITIVE LOGITS
     India
    1.02
    India
    0.96
    Indian
    0.91
     Indian
    0.90
     Mumbai
    0.90
    Mumbai
    0.88
     Delhi
    0.87
    Delhi
    0.85
     INDIA
    0.83
     Maharashtra
    0.83
    Activations Density 0.449%

    No Known Activations