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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 13552
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    INDEX
    Explanations

    occurrences of the term "PES" in relation to biological or medical contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     profumo
    -0.62
    IndentedString
    -0.61
    createElement
    -0.61
    EREF
    -0.56
     nahilalakip
    -0.55
    脚注の使い方
    -0.54
     McNeil
    -0.53
     McNamara
    -0.53
    BeginContext
    -0.52
    Acknowledgements
    -0.51
    POSITIVE LOGITS
    UnusedPrivate
    0.85
     pes
    0.83
    Pes
    0.75
     PES
    0.73
     HasFactory
    0.71
    PES
    0.71
     Pesto
    0.68
    pes
    0.66
    Fried
    0.66
     brain
    0.66
    Activations Density 0.035%

    No Known Activations