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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 11879
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    references to injuries and related medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.59
    HTTPResponse
    -0.55
    __()
    -0.53
    ChildScrollView
    -0.52
    VersionUID
    -0.49
    LabelTagHelper
    -0.48
     secre
    -0.48
    aarrggbb
    -0.46
    acebook
    -0.46
     nakalista
    -0.46
    POSITIVE LOGITS
    Injury
    0.83
     Injury
    0.82
     injury
    0.78
     injuries
    0.73
     Injuries
    0.73
    Injuries
    0.71
     INJ
    0.69
    injured
    0.69
     injured
    0.68
    injury
    0.66
    Activations Density 0.109%

    No Known Activations