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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15200
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    Explanations

    details about performance metrics and specifications related to cars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -0.43
     
    -0.41
     privacy
    -0.41
    PCell
    -0.40
    REDIRECT
    -0.40
     régiment
    -0.40
    klo
    -0.39
    Pel
    -0.38
    gameserver
    -0.38
     köz
    -0.37
    POSITIVE LOGITS
     drag
    1.09
     Drag
    0.94
     drags
    0.90
    DRAG
    0.85
    Drag
    0.84
    drag
    0.84
     DRAG
    0.81
     dragged
    0.71
     nitrous
    0.70
     NH
    0.61
    Activations Density 0.127%

    No Known Activations