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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 15877
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    Explanations

    different types of footwear and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Decke
    -0.62
    følgelig
    -0.57
     didReceive
    -0.54
     vastaan
    -0.47
    rxjs
    -0.47
    sheets
    -0.47
     blanket
    -0.47
     către
    -0.47
     empfangen
    -0.46
     vigueur
    -0.46
    POSITIVE LOGITS
     shoes
    1.59
     Shoes
    1.44
     shoe
    1.43
     footwear
    1.40
     Shoe
    1.35
    Shoes
    1.30
     SHOES
    1.29
     Footwear
    1.22
     boots
    1.21
    shoes
    1.18
    Activations Density 0.145%

    No Known Activations