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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. 31823
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    Explanations

    phrases related to training and qualifications in a professional context

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

    trained or applied

    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
     ostavi
    -0.71
    AndEndTag
    -0.57
    oneofs
    -0.56
     للمعارف
    -0.54
    SourceChecksum
    -0.54
     contribution
    -0.53
     AssemblyVersion
    -0.52
    раздо
    -0.51
    OwnProperty
    -0.49
     насељу
    -0.49
    POSITIVE LOGITS
     Roskov
    0.81
     noires
    0.61
    Trained
    0.61
     supérieures
    0.61
     nationaux
    0.60
    trained
    0.59
     blanches
    0.57
     khusus
    0.56
     supérieurs
    0.56
     Universitario
    0.55
    Activations Density 0.030%

    No Known Activations