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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. 10478
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    references to costs and measurements related to fabric and clothing

    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
     iprot
    -0.49
    LookAnd
    -0.48
    tonsoft
    -0.46
    thin
    -0.44
    %");
    -0.42
     econô
    -0.40
     <",
    -0.39
    RotationOrder
    -0.38
     Gegenteil
    -0.38
     dovuto
    -0.36
    POSITIVE LOGITS
     kasarigan
    0.58
     ESTIM
    0.54
     average
    0.53
     autorytatywna
    0.52
     Assuming
    0.50
    ということは
    0.48
     AVERAGE
    0.47
    平均
    0.46
    Assuming
    0.46
     Estimating
    0.45
    Activations Density 0.598%

    No Known Activations