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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6934
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    Explanations

    terms and phrases related to athletes and sports, particularly in contexts involving specific players or teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WriteLiteral
    -0.85
    ioutil
    -0.83
    EDEFAULT
    -0.81
    SharedDtor
    -0.80
    Tracce
    -0.76
    脚注の使い方
    -0.74
    ftagPool
    -0.74
    PointerException
    -0.71
    RegistryLite
    -0.71
    ousand
    -0.70
    POSITIVE LOGITS
     football
    0.73
     sports
    0.70
     players
    0.70
    Sports
    0.68
     soccer
    0.65
     Sports
    0.61
     athletic
    0.60
    sports
    0.59
     basketball
    0.59
     athletes
    0.58
    Activations Density 1.060%

    No Known Activations