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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3253
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    individuals who are athletes in various sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GEBURTS
    -0.78
     للاسماء
    -0.76
    SourceChecksum
    -0.75
    hoeddwyd
    -0.65
    GEBURTSDATUM
    -0.63
    脚注の使い方
    -0.61
    Odkazy
    -0.58
    rrggbb
    -0.57
    SequentialGroup
    -0.56
     eccl
    -0.55
    POSITIVE LOGITS
     Olympic
    0.57
     national
    0.57
     athlete
    0.54
     coach
    0.46
     athletes
    0.45
     Olympian
    0.44
     nacional
    0.43
     nazionale
    0.43
    national
    0.43
    Olympic
    0.41
    Activations Density 0.126%

    No Known Activations