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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 2701
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    elements related to food, dining experiences, and negative attributes in evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     likelihood
    -0.68
     liderança
    -0.68
     líder
    -0.68
     leadership
    -0.67
     liderazgo
    -0.66
     localization
    -0.66
     lovely
    -0.65
     located
    -0.64
     location
    -0.64
     Leistungen
    -0.64
    POSITIVE LOGITS
    GTCX
    0.74
    stateProvider
    0.65
    InjectAttribute
    0.61
    tonsoft
    0.60
    Життєпис
    0.59
     ویکی‌پدی
    0.57
    ArgumentParser
    0.57
    stdc
    0.56
    ftagPool
    0.56
    RenderAtEndOf
    0.56
    Activations Density 0.956%

    No Known Activations