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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 35-GEMMASCOPE-RES-16K
    6. 7034
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    references to mechanical issues and failures in vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HasAnnotation
    -0.60
     EconPapers
    -0.54
     referenties
    -0.52
     snippetHide
    -0.52
     transférez
    -0.51
    Sucesor
    -0.51
    getDoctrine
    -0.51
    contentLoaded
    -0.51
     pinulongan
    -0.50
    #
    -0.50
    POSITIVE LOGITS
     defective
    1.10
     faulty
    1.09
     malfunction
    0.95
     Defective
    0.88
     damaged
    0.82
     malfunctions
    0.78
     leaking
    0.73
     failing
    0.70
     broken
    0.69
     defect
    0.69
    Activations Density 0.353%

    No Known Activations