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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4029
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    Explanations

    references to meal times, particularly lunch

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    følgelig
    -0.87
     numberWith
    -0.75
     AssemblyCulture
    -0.69
    nonatomic
    -0.67
     retirer
    -0.66
    Marek
    -0.65
    cosity
    -0.64
    Архівовано
    -0.64
     stripping
    -0.62
    gnu
    -0.62
    POSITIVE LOGITS
     lunch
    3.39
     Lunch
    3.12
    Lunch
    3.00
    lunch
    2.92
     LUNCH
    2.81
     lunches
    2.57
     luncheon
    2.30
     lunchtime
    2.19
     Luncheon
    1.90
    午餐
    1.80
    Activations Density 0.048%

    No Known Activations