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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. 8822
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    Explanations

    concepts related to Asian cuisine

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

    Follows "Thai"

    np_acts-logits-general · gemini-2.0-flash

    Thai style food

    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
    脚注の使い方
    -0.63
    WindowConstants
    -0.62
     referenties
    -0.59
     مشين
    -0.59
    aneers
    -0.57
     Wund
    -0.55
    __':
    -0.55
    ciutto
    -0.54
    liceerd
    -0.54
     Alcott
    -0.53
    POSITIVE LOGITS
     Pad
    0.62
    rrggbb
    0.60
    oredCriteria
    0.59
    IVEREF
    0.58
     noodles
    0.56
     pad
    0.55
    Pad
    0.55
     spice
    0.55
     rice
    0.54
     bah
    0.54
    Activations Density 0.161%

    No Known Activations