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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 11544
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    Explanations

    references to clothing and apparel

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Personendaten
    -0.60
    SharedCtor
    -0.59
     CreateTagHelper
    -0.59
    ftagPool
    -0.59
    BeginInit
    -0.55
    FunctionFlags
    -0.52
    TargetException
    -0.52
    يكب
    -0.52
    makeConstraints
    -0.50
    ErrUnexpectedEOF
    -0.50
    POSITIVE LOGITS
     shirt
    0.72
     jacket
    0.62
     Shirt
    0.62
    Shirt
    0.57
    shirt
    0.56
     shirts
    0.55
     blouse
    0.54
     sweater
    0.52
     Jacket
    0.50
     camicia
    0.49
    Activations Density 0.179%

    No Known Activations