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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 6969
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    INDEX
    Explanations

    mentions of products and their features related to footwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    shoes and feet

    np_acts-logits-general · gemini-2.0-flash

    shoes and boots

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arms
    -0.61
    arms
    -0.59
     Antenna
    -0.57
    antenna
    -0.52
     Brust
    -0.51
     didReceive
    -0.51
     antenna
    -0.51
     Arms
    -0.50
    bori
    -0.49
    CodedInputStream
    -0.48
    POSITIVE LOGITS
     shoes
    1.42
     shoe
    1.32
     heel
    1.32
     foot
    1.30
     footwear
    1.28
     Shoes
    1.26
     Shoe
    1.22
     Heel
    1.22
    Foot
    1.21
     Foot
    1.21
    Activations Density 0.193%

    No Known Activations