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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11795
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    INDEX
    Explanations

    specific names of sports teams and metrics related to their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    following team names or sports terms

    np_acts-logits-general · gemini-2.0-flash

    expectations and predictions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paglinawan
    -0.56
    Risultati
    -0.56
    zyb
    -0.54
    ">//
    -0.54
    wasan
    -0.53
    yonel
    -0.53
    にあった
    -0.52
    later
    -0.50
    esgue
    -0.49
     Wasn
    -0.49
    POSITIVE LOGITS
    Expect
    0.68
     Expect
    0.66
    expect
    0.64
     expecting
    0.60
     EconPapers
    0.59
     expect
    0.57
     okuyayım
    0.56
     hoping
    0.55
     Recent
    0.55
    Será
    0.54
    Activations Density 0.141%

    No Known Activations