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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 31788
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    Explanations

    terms related to specific industries and sectors, particularly healthcare, life sciences, food services, and automotive

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    industries and sectors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    MigrationBuilder
    -0.86
    MemoryWarning
    -0.75
    ResponseWriter
    -0.74
    tagHelperRunner
    -0.67
    aarrggbb
    -0.66
     AttributeSet
    -0.65
     olympique
    -0.63
    parsedMessage
    -0.63
    LookAnd
    -0.62
    MessageTagHelper
    -0.61
    POSITIVE LOGITS
     industry
    1.06
     sector
    0.90
     industries
    0.83
     Industry
    0.78
    industry
    0.77
    Industry
    0.68
     indust
    0.64
     Branchen
    0.60
     INDUSTRY
    0.60
     professionals
    0.59
    Activations Density 0.340%

    No Known Activations