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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. 4822
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    Explanations

    references to facial recognition or faceted categorization

    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
    :✨
    -0.53
    expandindo
    -0.44
     mundiales
    -0.40
    Rüyada
    -0.39
     kaarangay
    -0.39
     sanitarias
    -0.39
     niech
    -0.37
    Eksteraj
    -0.36
     iNdEx
    -0.35
     potrzeb
    -0.34
    POSITIVE LOGITS
    tious
    0.81
    tiously
    0.77
     Face
    0.73
    mask
    0.72
    Face
    0.69
    masks
    0.69
    lifts
    0.67
    lifted
    0.66
     FACE
    0.65
    lift
    0.62
    Activations Density 0.086%

    No Known Activations