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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 13312
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    terms related to dietary patterns and nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.50
    ajuato
    -0.44
    zzleHttp
    -0.42
     ür
    -0.41
    GeoNames
    -0.40
     basah
    -0.39
    ğraf
    -0.39
    msgTypes
    -0.39
     keper
    -0.39
    volmente
    -0.39
    POSITIVE LOGITS
     artificial
    0.89
     plastic
    0.89
     synthetic
    0.89
     plastics
    0.83
     toxins
    0.78
     chemicals
    0.74
    plastic
    0.73
     pesticides
    0.73
    artificial
    0.72
     unhealthy
    0.72
    Activations Density 0.624%

    No Known Activations