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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3003
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    Explanations

    references to cleanliness or filthiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pons
    -0.73
    SuppressMessage
    -0.65
     manzanas
    -0.63
    roupe
    -0.62
     chré
    -0.60
     ExecuteAsync
    -0.59
    DotNetBar
    -0.59
     eiland
    -0.55
     giudi
    -0.54
     Aidan
    -0.54
    POSITIVE LOGITS
     dirty
    2.79
    dirty
    2.50
     Dirty
    2.44
    Dirty
    2.33
     dirt
    1.95
     filthy
    1.88
    dirt
    1.74
     Dirt
    1.68
    Dirt
    1.63
     soiled
    1.52
    Activations Density 0.111%

    No Known Activations