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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7526
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    Explanations

    statistical references and performance metrics in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.57
    出版年
    -0.53
    MENAFN
    -0.52
    Personendaten
    -0.43
    CodeAttribute
    -0.43
    Vidite
    -0.43
    MethodManager
    -0.40
    Чыганаклар
    -0.40
    KommentareTeilen
    -0.40
    Jegyzetek
    -0.40
    POSITIVE LOGITS
     shots
    0.66
     shot
    0.65
     shooting
    0.60
     jumper
    0.59
    ClientSize
    0.59
     jumpers
    0.59
     shoot
    0.56
    ftagPool
    0.55
     sank
    0.53
     sinking
    0.53
    Activations Density 0.209%

    No Known Activations