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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9558
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    references to different types and attributes of pasta

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ComVisible
    -0.54
     betweenstory
    -0.50
    phorbia
    -0.50
    scryfall
    -0.48
    味噌汁
    -0.47
    criminator
    -0.45
    cire
    -0.44
    NameInMap
    -0.44
    ThemeProvider
    -0.44
    Personensuche
    -0.43
    POSITIVE LOGITS
     noodles
    1.03
     pasta
    0.99
     noodle
    0.89
     Pasta
    0.85
     Noodles
    0.81
    🍝
    0.79
     spaghetti
    0.79
    Pasta
    0.76
     macaroni
    0.71
     pastas
    0.71
    Activations Density 0.129%

    No Known Activations