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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. 11606
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    Explanations

    statistical data related to age and demographic characteristics of study populations

    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
     ſch
    -0.55
    WithIOException
    -0.54
     faſt
    -0.54
     informée
    -0.52
     Reſ
    -0.51
     Monfieur
    -0.50
     Jefus
    -0.49
     Conſ
    -0.49
     ſche
    -0.48
    libft
    -0.47
    POSITIVE LOGITS
     average
    0.98
    平均
    0.96
    average
    0.86
     Average
    0.85
    Average
    0.84
     durchschnitt
    0.83
     averages
    0.79
     Avg
    0.77
     averaging
    0.75
     averaged
    0.74
    Activations Density 1.184%

    No Known Activations