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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13889
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    Explanations

    references to standards or benchmarks in various contexts, particularly in medical and organizational settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ftagPool
    -0.64
    enumi
    -0.59
     propOrder
    -0.57
    WebServlet
    -0.46
    runApp
    -0.42
    PerformLayout
    -0.41
     Gass
    -0.41
     лиш
    -0.41
     foncé
    -0.40
     pescoço
    -0.40
    POSITIVE LOGITS
     standards
    3.22
     standard
    3.21
    standard
    2.91
    standards
    2.79
     Standards
    2.73
     Standard
    2.70
    Standard
    2.63
     STANDARD
    2.62
    Standards
    2.59
     STANDARDS
    2.57
    Activations Density 0.489%

    No Known Activations