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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. 8687
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    Explanations

    references to protective gear and personal safety equipment

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ConstraintMaker
    -0.48
    LookAnd
    -0.45
    setLayoutManager
    -0.44
    orianCalendar
    -0.42
    Gruss
    -0.41
    PDOException
    -0.41
    andExpect
    -0.41
    hassee
    -0.40
    ništ
    -0.40
    jména
    -0.39
    POSITIVE LOGITS
     helmet
    0.91
     protective
    0.87
     helmets
    0.83
     gloves
    0.82
    protective
    0.69
     Protective
    0.68
     respirator
    0.68
     gaunt
    0.67
     Kev
    0.67
    helmet
    0.64
    Activations Density 0.426%

    No Known Activations