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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 9663
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    references to shopping and parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tartalomajánló
    -0.56
     مواليد
    -0.54
    gefü
    -0.54
     uruguay
    -0.53
    Content
    -0.51
     DSG
    -0.50
    YNC
    -0.50
    tahankan
    -0.50
     Content
    -0.50
    któ
    -0.50
    POSITIVE LOGITS
     parks
    0.89
     shopping
    0.82
     Parks
    0.75
     park
    0.75
    basicConfig
    0.72
     Shopping
    0.71
     Wein
    0.71
     PARK
    0.69
     parking
    0.68
     parku
    0.68
    Activations Density 0.046%

    No Known Activations