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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 108977
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    terms related to respiratory conditions and pulmonary health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pulmonary
    -1.01
     Pulmonary
    -0.90
     lung
    -0.77
     pulmon
    -0.77
     Lung
    -0.71
    pulmonary
    -0.71
     lungs
    -0.65
    肺
    -0.58
    monary
    -0.58
     pneumonia
    -0.56
    POSITIVE LOGITS
    aarrggbb
    0.71
     ModelExpression
    0.69
     estekak
    0.68
     Савезне
    0.67
     propOrder
    0.66
    الحياه
    0.65
    RenderAtEndOf
    0.63
    GEBURTSDATUM
    0.63
     PeEnEo
    0.60
     tartalomajánló
    0.60
    Activations Density 0.037%

    No Known Activations