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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 10049
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    Explanations

    references to furniture and upholstery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Посилання
    -0.40
    islation
    -0.40
     Römer
    -0.40
     ExecuteAsync
    -0.39
     recapture
    -0.39
    러한
    -0.35
    polazione
    -0.35
     ModelExpression
    -0.34
    midos
    -0.34
    ApiModel
    -0.33
    POSITIVE LOGITS
     chair
    1.45
     chairs
    1.34
     Chair
    1.33
     Chairs
    1.27
     furniture
    1.27
     Furniture
    1.23
    Chair
    1.21
    chair
    1.20
     CHAIR
    1.18
    furniture
    1.16
    Activations Density 0.214%

    No Known Activations