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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13426
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    Explanations

    specific types of Indian cuisine dishes and ingredients

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

    before parenthesis or after common words

    np_acts-logits-general · gemini-2.0-flash

    Indian food and banana leaf meals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wachs
    -0.53
     مرئيه
    -0.51
     Ogun
    -0.47
     scripts
    -0.46
    Carly
    -0.46
     baili
    -0.44
    ::{
    -0.44
    rungsseite
    -0.43
     centavos
    -0.43
    DoubleQuotes
    -0.43
    POSITIVE LOGITS
     Mutter
    0.64
     kela
    0.63
     mutter
    0.60
    NameInMap
    0.58
     preparar
    0.57
     Rogan
    0.57
     المعيارى
    0.56
    ValueGenerated
    0.56
    WindowConstants
    0.56
    aloo
    0.55
    Activations Density 0.091%

    No Known Activations