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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 7437
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    references to quarters and quarterbacks in the context of sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OFDb
    -0.80
     يتيمه
    -0.75
    ^(@)
    -0.74
     שוליים
    -0.74
    MemoryWarning
    -0.72
     QtCore
    -0.71
    󠁢
    -0.71
     referrerpolicy
    -0.69
    ">',
    -0.67
     leaſt
    -0.66
    POSITIVE LOGITS
    Q
    0.99
    q
    0.85
     Q
    0.83
     quarter
    0.83
    quarter
    0.78
     Quarter
    0.69
    Quarter
    0.67
     q
    0.67
     quarterback
    0.63
     QUARTER
    0.63
    Activations Density 0.166%

    No Known Activations