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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 4791
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    Explanations

    references to wine and food pairings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     переписи
    -0.51
    Crunch
    -0.50
     Lovell
    -0.49
    RuleContext
    -0.48
    BuildContext
    -0.47
     Marsh
    -0.46
     getItemId
    -0.45
    neko
    -0.45
    daa
    -0.44
     Salter
    -0.44
    POSITIVE LOGITS
     wine
    1.20
     wines
    1.13
     Wine
    1.07
    Wine
    1.06
    wine
    1.05
     WINE
    0.97
    🍷
    0.95
     vino
    0.93
     Wines
    0.90
     Vino
    0.83
    Activations Density 0.206%

    No Known Activations