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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 4034
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    Explanations

    references to 'wet' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.87
     AssemblyTitle
    -0.70
    astéroïdes
    -0.60
    Kjelder
    -0.60
     JpaRepository
    -0.59
    ChildScrollView
    -0.58
    featureID
    -0.57
    QMetaType
    -0.54
     queſta
    -0.54
    OpenHelper
    -0.52
    POSITIVE LOGITS
     Front
    0.71
    Front
    0.65
     front
    0.61
    jo
    0.58
    front
    0.57
    IS
    0.54
     Wet
    0.53
     backup
    0.52
     wet
    0.50
    FRONT
    0.47
    Activations Density 0.212%

    No Known Activations