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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9805
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    Explanations

    references to specific organizations or institutions

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

    following "Shanghai", "Chemical", or "finite"

    np_acts-logits-general · gemini-2.0-flash

    Shanghai

    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
    Not in Any Lists

    No Comments

    Negative Logits
     paese
    -0.41
     devriez
    -0.39
     villaggio
    -0.38
     Ortschaft
    -0.36
     Yakima
    -0.36
     orologio
    -0.36
     Shenandoah
    -0.36
     Regno
    -0.35
     rústico
    -0.35
     Bupati
    -0.34
    POSITIVE LOGITS
     metro
    0.75
     Mumbai
    0.70
     metropolitan
    0.69
     METRO
    0.67
     Metro
    0.66
    principalColumn
    0.66
     suburbs
    0.65
     Atlanta
    0.63
     Shanghai
    0.63
     metropolis
    0.63
    Activations Density 0.487%

    No Known Activations