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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. 10431
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    information related to athlete recruitment and performance metrics

    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
    BASEPATH
    -0.54
    \{\\
    -0.47
    請繼續往下閱讀
    -0.43
    ⟬
    -0.43
    WriteLiteral
    -0.43
    IsContent
    -0.43
     Permalink
    -0.42
    
    -0.42
    getSystemService
    -0.41
    strix
    -0.40
    POSITIVE LOGITS
     prodigy
    0.52
     promising
    0.48
     dreamy
    0.48
     rêver
    0.48
    Potential
    0.48
    kembangan
    0.48
     recruit
    0.47
    potential
    0.47
     candidatura
    0.47
     prospect
    0.46
    Activations Density 0.144%

    No Known Activations