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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. 10070
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    Explanations

    quantitative data related to populations and demographics

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

    large numbers of people

    np_acts-logits-general · gemini-2.0-flash

    millions and billions of people

    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
     defaultstate
    -0.50
     Glä
    -0.40
    Whi
    -0.40
    domada
    -0.39
     едино
    -0.38
    MAR
    -0.37
    Arts
    -0.36
    WithIdentifier
    -0.36
    webElement
    -0.36
     MAR
    -0.35
    POSITIVE LOGITS
     millions
    0.72
    Millions
    0.66
     billions
    0.65
     Millions
    0.63
     milhões
    0.58
    millions
    0.57
     milyon
    0.57
     millones
    0.56
     jutaan
    0.56
     million
    0.55
    Activations Density 0.389%

    No Known Activations