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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 466
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    Explanations

    references to yardage 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 @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uxxxx
    -0.61
    ViewImports
    -0.59
     betweenstory
    -0.57
     useAppContext
    -0.54
     <<<<<<<<<<<<<<
    -0.52
     Meksiku
    -0.52
    EDEFAULT
    -0.52
    TagMode
    -0.51
     propOrder
    -0.50
    原始内容存档于
    -0.49
    POSITIVE LOGITS
     yard
    0.68
     yards
    0.63
     Panel
    0.61
     Panels
    0.59
    yard
    0.59
     panels
    0.59
    Panel
    0.57
    unit
    0.56
     panel
    0.53
    Yard
    0.53
    Activations Density 0.217%

    No Known Activations