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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 12565
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    statistics and performance metrics related to sports and athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     utafitiHapana
    -0.69
     Infórmanos
    -0.67
     ब्रेकडाउन
    -0.60
    endpush
    -0.59
    IndentedString
    -0.59
     Roskov
    -0.58
    RTEE
    -0.57
     disambiguazione
    -0.55
    KommentareTeilen
    -0.54
    Personendaten
    -0.54
    POSITIVE LOGITS
     student
    0.93
     University
    0.88
     campus
    0.88
     university
    0.87
     NCAA
    0.85
     freshman
    0.84
     Student
    0.84
     college
    0.80
     College
    0.79
     freshmen
    0.79
    Activations Density 0.177%

    No Known Activations