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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8910
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    Explanations

    references to different types and qualities of pasta

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pranala
    -0.48
    Hentet
    -0.45
    casila
    -0.42
    Xna
    -0.41
     Chriftian
    -0.40
     zijne
    -0.40
     تضيفلها
    -0.38
     confé
    -0.36
     eenen
    -0.36
    kasa
    -0.36
    POSITIVE LOGITS
     spaghetti
    0.94
     pasta
    0.94
     noodle
    0.90
     Spaghetti
    0.89
     Pasta
    0.89
    Spaghetti
    0.87
     noodles
    0.85
    spaghetti
    0.82
     Noodles
    0.81
    Pasta
    0.79
    Activations Density 0.255%

    No Known Activations