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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 12832
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    references to products and accessories, particularly in a retail or promotional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectoriales
    -0.41
     blame
    -0.39
     bocetos
    -0.35
     fisuras
    -0.35
    appcompat
    -0.34
     negativas
    -0.33
     cirurgia
    -0.33
     peggio
    -0.33
     récit
    -0.32
     telefónica
    -0.32
    POSITIVE LOGITS
     accessories
    0.73
     gadgets
    0.73
     products
    0.71
    products
    0.61
     equipment
    0.61
     stocking
    0.61
     gear
    0.61
     kits
    0.59
    styleUrls
    0.59
     reusable
    0.58
    Activations Density 0.132%

    No Known Activations