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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4476
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    Explanations

    references to pasta dishes and preparations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adeloupe
    -0.38
    tdessen
    -0.38
    ThemeProvider
    -0.36
    scryfall
    -0.35
    Przeczytaj
    -0.35
    ifoli
    -0.34
    __*/
    -0.34
    damente
    -0.33
     Patro
    -0.33
     BitSet
    -0.32
    POSITIVE LOGITS
     pasta
    1.09
     noodles
    0.94
     Pasta
    0.90
    Pasta
    0.86
    pasta
    0.86
     pastas
    0.83
     spaghetti
    0.82
     pen
    0.80
     noodle
    0.78
     Noodles
    0.76
    Activations Density 0.198%

    No Known Activations