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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5760
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    Explanations

    references to meals, particularly lunch and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PPM
    -0.80
     numberWith
    -0.75
     aastal
    -0.73
     AssemblyCulture
    -0.71
    RQ
    -0.71
     PPM
    -0.69
     osu
    -0.69
     GTS
    -0.69
    obald
    -0.68
     Kommune
    -0.68
    POSITIVE LOGITS
     lunch
    1.36
     Lunch
    1.30
    Lunch
    1.27
     LUNCH
    1.23
     breakfast
    1.22
    lunch
    1.17
     dinner
    1.13
     luncheon
    1.11
     lunches
    1.10
     Breakfast
    1.10
    Activations Density 0.060%

    No Known Activations