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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6032
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    Explanations

    references to wine-related events or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    PENDAHULUAN
    -0.35
    readAs
    -0.34
    Maths
    -0.34
    nestjs
    -0.33
    hygiène
    -0.33
     Maths
    -0.33
     WhatsApp
    -0.32
    eynman
    -0.32
    FormsModule
    -0.32
    RegressionTest
    -0.32
    POSITIVE LOGITS
     downtown
    0.96
     Downtown
    0.88
    Downtown
    0.84
    downtown
    0.81
     breweries
    0.80
     boutiques
    0.75
     wineries
    0.75
     patios
    0.75
     brewery
    0.72
     antiqu
    0.71
    Activations Density 0.342%

    No Known Activations