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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 12976
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    Explanations

    mentions of specific types of wines and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.61
    parametrize
    -0.58
     getItemId
    -0.57
    ConstraintMaker
    -0.57
    UnknownFields
    -0.55
    Mode
    -0.55
    byshev
    -0.55
    LookAnd
    -0.54
    PerformLayout
    -0.53
    makeConstraints
    -0.53
    POSITIVE LOGITS
     wines
    0.73
     wine
    0.70
     Tasting
    0.67
     tasting
    0.67
     terroir
    0.66
     whiskey
    0.65
     dégustation
    0.64
     Wines
    0.62
     winery
    0.62
     voted
    0.59
    Activations Density 0.059%

    No Known Activations