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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 8045
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    Explanations

    references to various types of shoes and related accessories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QtCore
    -0.50
     Trumb
    -0.47
     tagli
    -0.43
    Sheldon
    -0.42
    審査
    -0.42
     Daryl
    -0.42
     arm
    -0.42
    estable
    -0.42
     Darryl
    -0.41
     برد
    -0.41
    POSITIVE LOGITS
     shoes
    1.98
     Shoes
    1.85
     shoe
    1.72
    Shoes
    1.71
     footwear
    1.71
     SHOES
    1.63
     Shoe
    1.62
    shoes
    1.61
     Footwear
    1.60
     sandals
    1.46
    Activations Density 0.228%

    No Known Activations