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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11734
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    Explanations

    references to different types of pasta

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    astify
    -0.68
    phosa
    -0.66
    UseVisualStyle
    -0.59
     nahilalakip
    -0.56
    RTEX
    -0.54
    ::_('
    -0.49
    setVerticalGroup
    -0.49
    IndentedString
    -0.48
    Datuak
    -0.48
    twimg
    -0.47
    POSITIVE LOGITS
     pasta
    0.79
     Pasta
    0.77
     noodle
    0.75
     spaghetti
    0.73
     noodles
    0.73
     Spaghetti
    0.69
    Pasta
    0.69
    Spaghetti
    0.68
     Noodles
    0.61
    spaghetti
    0.58
    Activations Density 0.139%

    No Known Activations