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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6111
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    INDEX
    Explanations

    elements related to catering and dining services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    dining

    np_acts-logits-general · gemini-2.0-flash

    meal and dining times

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.66
    tagHelperRunner
    -0.59
     esternos
    -0.54
    出版年
    -0.53
    pinMode
    -0.53
    styleable
    -0.52
     JpaRepository
    -0.51
     towar
    -0.51
     متعلقه
    -0.50
    grine
    -0.49
    POSITIVE LOGITS
     dinner
    1.37
     lunch
    1.22
     supper
    1.08
    dinner
    1.04
     Dinner
    1.04
     breakfast
    1.02
    Dinner
    0.99
     dinners
    0.97
     meal
    0.97
    lunch
    0.93
    Activations Density 0.130%

    No Known Activations