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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10868
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    Explanations

    mentions of racing events and drivers

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

    "Formula 1" or racing-related text

    np_acts-logits-general · gemini-2.0-flash

    formula 1

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.77
    tagHelperRunner
    -0.77
     betweenstory
    -0.77
     disambiguazione
    -0.76
     vectorielle
    -0.72
    AndEndTag
    -0.71
     nahilalakip
    -0.71
     OFDb
    -0.66
     فريبيس
    -0.63
    EndProject
    -0.63
    POSITIVE LOGITS
     Formula
    0.62
    Formula
    0.47
     FORMULA
    0.43
     Sauber
    0.42
     formula
    0.41
     AMR
    0.38
     formulae
    0.36
     Formule
    0.35
     Ferrari
    0.35
     FIA
    0.35
    Activations Density 0.127%

    No Known Activations