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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. 3528
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    Explanations

    references to mass, specifically in scientific or academic contexts

    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
    postsleuth
    -0.55
     مشين
    -0.49
     MainAxisSize
    -0.48
     silicona
    -0.45
     noexcept
    -0.43
    Aholisi
    -0.42
     riuscito
    -0.42
    AxisSize
    -0.42
     RouterModule
    -0.41
    CloseOperation
    -0.41
    POSITIVE LOGITS
     mass
    1.05
    Mass
    1.03
     Mass
    1.02
    mass
    1.00
    MASS
    0.93
     Massen
    0.92
     MASS
    0.91
     massa
    0.88
     masses
    0.78
     Masses
    0.77
    Activations Density 0.124%

    No Known Activations