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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 4528
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    Explanations

    references to dining experiences and culinary activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     protoimpl
    -0.63
     Италијани
    -0.58
    ContentAlignment
    -0.57
    ubereitung
    -0.51
    resourceId
    -0.51
    følgelig
    -0.50
     Auflage
    -0.50
     Italijanski
    -0.48
     <>",
    -0.47
    thums
    -0.47
    POSITIVE LOGITS
     lunch
    0.97
     drinks
    0.86
     refreshments
    0.86
     coffee
    0.86
     tea
    0.75
     dinner
    0.71
     snacks
    0.70
     koffie
    0.70
     breakfast
    0.69
    lunch
    0.69
    Activations Density 0.196%

    No Known Activations