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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1025
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    references to bike paths and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awtextra
    -0.64
    WriteAttribute
    -0.58
     Timp
    -0.55
     kro
    -0.53
     audi
    -0.52
     ivi
    -0.51
    tato
    -0.50
    vieja
    -0.50
     Upland
    -0.50
     Kimi
    -0.50
    POSITIVE LOGITS
     bike
    1.61
     bikes
    1.58
     riders
    1.45
     Bike
    1.42
     rider
    1.36
    Bike
    1.36
     motorcycle
    1.33
     biking
    1.31
    bike
    1.31
     bicycle
    1.30
    Activations Density 0.195%

    No Known Activations