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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5047
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    Explanations

    references to environmental emissions and air quality metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.56
    AddTagHelper
    -0.45
    oredCriteria
    -0.44
    Демографія
    -0.44
    UrlResolution
    -0.42
    Rüyada
    -0.42
     quitte
    -0.42
    DockStyle
    -0.41
     acuario
    -0.40
     distanciation
    -0.39
    POSITIVE LOGITS
     emission
    0.92
     emissions
    0.89
     Emission
    0.88
     Emissions
    0.81
    Emission
    0.81
     stack
    0.80
     fugitive
    0.72
     Stack
    0.70
    emission
    0.70
    Emissions
    0.69
    Activations Density 0.130%

    No Known Activations