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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7208
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    Explanations

    references to professional sports teams and their players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Play" followed by professional-related words

    np_acts-logits-general · gemini-2.0-flash

    playing professional sports

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brać
    -0.62
    sterious
    -0.61
     AttributeSet
    -0.60
    BuilderFactory
    -0.58
    帖最后由
    -0.55
     static
    -0.54
    ForValue
    -0.54
    withIdentifier
    -0.53
     giản
    -0.52
    OfWork
    -0.52
    POSITIVE LOGITS
     professional
    1.75
    professional
    1.54
     Professional
    1.41
    Professional
    1.41
     profesional
    1.39
     PROFESSIONAL
    1.30
     professionnel
    1.27
     profissional
    1.23
    PROFESSIONAL
    1.21
     pro
    1.20
    Activations Density 0.235%

    No Known Activations