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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 10456
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    Explanations

    events involving medical emergencies or injuries in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saites
    -0.74
     SafeMath
    -0.73
    tagHelperRunner
    -0.69
    parsedMessage
    -0.67
    Бахар
    -0.67
    StructEnd
    -0.62
    Xna
    -0.60
    XmlEnum
    -0.60
    InSection
    -0.59
     betweenstory
    -0.59
    POSITIVE LOGITS
     court
    0.68
     Court
    0.61
     surface
    0.60
    surface
    0.54
    surfaces
    0.54
    Tur
    0.53
     Schneider
    0.52
    Surface
    0.52
     Surfaces
    0.52
     field
    0.51
    Activations Density 0.234%

    No Known Activations