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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 13533
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    Explanations

    references to financial expenses and spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MigrationBuilder
    -0.52
    pushFollow
    -0.52
    RegistryLite
    -0.52
    الحياه
    -0.50
     NSCoder
    -0.50
     FetchType
    -0.49
    tagHelperRunner
    -0.47
    msgTypes
    -0.45
     Савезне
    -0.45
     handleMessage
    -0.45
    POSITIVE LOGITS
     spending
    0.78
    Spending
    0.62
     Spending
    0.60
    spending
    0.59
     spend
    0.56
     expenditure
    0.52
     James
    0.52
    James
    0.46
     spent
    0.45
    spend
    0.45
    Activations Density 0.112%

    No Known Activations