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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8972
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    terms related to nutrition and food insecurity, specifically focusing on micronutrients and deficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Taktlose
    -0.64
    RegressionTest
    -0.54
    exitRule
    -0.54
     CanadaChoose
    -0.52
     ligiloj
    -0.52
     autorytatywna
    -0.51
     düşünü
    -0.49
    yntaxException
    -0.48
     Italijanski
    -0.48
    лтамалар
    -0.47
    POSITIVE LOGITS
     NSCoder
    0.60
     Paglinawan
    0.59
    Personensuche
    0.54
     typelib
    0.53
     numberOfRows
    0.48
     ویکی‌پدیا
    0.46
     AppBar
    0.46
    MemoryWarning
    0.45
    WritableDatabase
    0.43
     ویکی‌پدیای
    0.42
    Activations Density 1.355%

    No Known Activations