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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 3949
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    INDEX
    Explanations

    references to large quantities, specifically populations or values expressed in millions

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

    quantities in millions

    np_acts-logits-general · gemini-2.0-flash

    numbers followed by million

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    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
    Not in Any Lists

    No Comments

    Negative Logits
     désert
    -0.37
    Petsc
    -0.37
    dark
    -0.36
     périodes
    -0.35
     dark
    -0.35
     besoins
    -0.33
     Carpenter
    -0.33
     Dark
    -0.32
     cực
    -0.32
     plaisir
    -0.32
    POSITIVE LOGITS
     million
    1.78
    Million
    1.57
     Million
    1.56
     millions
    1.53
     MILLION
    1.48
    million
    1.47
    millions
    1.45
     Millionen
    1.41
     Millions
    1.41
     miljoen
    1.37
    Activations Density 0.172%

    No Known Activations