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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. 7047
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    Explanations

    references to different types of pasta and their characteristics

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

    Prepositions followed by food-related words

    np_acts-logits-general · gemini-2.0-flash

    pasta and noodles

    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
    Хьажоргаш
    -0.62
    __":
    -0.62
    الحياه
    -0.58
     հղումներ
    -0.57
     CanadaChoose
    -0.57
     vivi
    -0.54
    cerol
    -0.53
    hyrchwyd
    -0.51
    __':
    -0.51
     Ponce
    -0.50
    POSITIVE LOGITS
     pasta
    1.03
     Pasta
    0.91
     noodles
    0.90
     Noodles
    0.82
     noodle
    0.80
    pasta
    0.79
     Spaghetti
    0.77
    Pasta
    0.77
     spaghetti
    0.77
     Lingu
    0.76
    Activations Density 0.115%

    No Known Activations