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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 10127
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    Explanations

    references to various types of footwear and related items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 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
    mybatisplus
    -0.38
    :✨
    -0.37
     tact
    -0.37
    abbix
    -0.35
     aiding
    -0.35
     Geist
    -0.33
     Aplica
    -0.32
    ьаж
    -0.32
    acidad
    -0.32
     coil
    -0.32
    POSITIVE LOGITS
     shoes
    1.72
     shoe
    1.57
     Shoes
    1.54
    Shoes
    1.47
    shoes
    1.47
     SHOES
    1.42
     footwear
    1.41
     Shoe
    1.38
     boots
    1.30
    shoe
    1.30
    Activations Density 0.154%

    No Known Activations