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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. 10455
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    Explanations

    references to food and drink consumption

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ulis
    -0.38
     penge
    -0.35
     initComponents
    -0.34
    transQ
    -0.33
    楽しみ
    -0.33
     trial
    -0.33
     erv
    -0.32
     production
    -0.32
    чными
    -0.31
     Unger
    -0.31
    POSITIVE LOGITS
     wine
    1.21
     beer
    1.16
     champagne
    1.02
     beers
    0.99
    wine
    0.94
     brandy
    0.93
     whiskey
    0.93
     vino
    0.91
     WINE
    0.91
     wines
    0.90
    Activations Density 0.175%

    No Known Activations