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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. 221
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    INDEX
    Explanations

    evaluations of performance regarding tasks or jobs

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

    Preceding "job"

    np_acts-logits-general · gemini-2.0-flash

    job performance assessment

    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
    Negative Logits
    balleur
    -0.40
    Referanser
    -0.40
    ViewImports
    -0.38
    Примітки
    -0.37
    Tembelea
    -0.37
    請繼續往下閱讀
    -0.36
    protoc
    -0.35
     voetballer
    -0.35
     muscle
    -0.34
     medico
    -0.34
    POSITIVE LOGITS
    ScopeManager
    0.61
     تضيفلها
    0.58
    webElementXpaths
    0.49
     مشارکت‌کنندگان
    0.49
     encarga
    0.48
    whelmed
    0.47
    頑張って
    0.46
     doGet
    0.46
     REFERENCE
    0.45
    Descriptions
    0.45
    Activations Density 0.205%

    No Known Activations