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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10997
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    elements related to management, service quality, and evaluation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gouvernements
    -0.50
     navires
    -0.48
     mères
    -0.46
     églises
    -0.44
     pères
    -0.43
     âmes
    -0.42
    Personendaten
    -0.42
     Bikes
    -0.39
    farms
    -0.38
     Kitchens
    -0.38
    POSITIVE LOGITS
     aspects
    1.60
     elements
    1.59
     things
    1.53
     features
    1.40
     factors
    1.37
     items
    1.34
     issues
    1.32
     concepts
    1.32
     topics
    1.28
     components
    1.27
    Activations Density 2.539%

    No Known Activations