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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11150
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    elements related to structured data schemas and medical terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.71
     NSCoder
    -0.68
    astify
    -0.67
     transfieras
    -0.61
     pinulongan
    -0.60
     يتيمه
    -0.58
     <>",
    -0.58
    tangentMode
    -0.57
    CloseOperation
    -0.56
    adaptiveStyles
    -0.55
    POSITIVE LOGITS
     calitate
    0.34
    古
    0.33
     ComVisible
    0.32
     obicei
    0.30
    Mostly
    0.30
    固
    0.29
    UINTN
    0.28
    ніципа
    0.28
     maat
    0.28
    და
    0.27
    Activations Density 2.369%

    No Known Activations