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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7322
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    references to athletes and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GEBURTSDATUM
    -0.38
     alcance
    -0.37
     når
    -0.37
     puntuación
    -0.35
     when
    -0.35
    SequentialGroup
    -0.35
     branches
    -0.34
     layak
    -0.34
     duración
    -0.34
     bertanggung
    -0.34
    POSITIVE LOGITS
    
    0.66
    lorette
    0.65
    twimg
    0.62
     EconPapers
    0.60
    InjectAttribute
    0.59
     Anſ
    0.58
     musician
    0.57
     Verſ
    0.57
     Wartawan
    0.57
    metrist
    0.56
    Activations Density 0.203%

    No Known Activations