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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5372
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    Explanations

    dietary patterns and their health implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GeoNames
    -0.46
    Билгалдахарш
    -0.45
    parsedMessage
    -0.45
     
    -0.41
    もしろ
    -0.41
     föruts
    -0.41
    AddHtmlAttribute
    -0.41
     tornillo
    -0.40
    unteers
    -0.40
    Rptr
    -0.40
    POSITIVE LOGITS
     junk
    1.05
     sugary
    0.98
     processed
    0.93
     fatty
    0.91
     unhealthy
    0.90
     sugar
    0.84
    junk
    0.84
    Junk
    0.81
     Junk
    0.79
     fats
    0.75
    Activations Density 0.437%

    No Known Activations