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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. 7810
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    attributes and their values in markup or code

    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
    XH
    -0.50
    ）.
    -0.49
     Milne
    -0.47
     Woodruff
    -0.47
    MessageId
    -0.45
     CHtml
    -0.45
    HMIS
    -0.45
    Xn
    -0.44
    互联网档案馆
    -0.44
     SOS
    -0.44
    POSITIVE LOGITS
    ="
    0.63
    ={
    0.57
    তথ্যসূত্র
    0.56
     femininos
    0.56
     ویکی‌پدیای
    0.56
    ThroughAttribute
    0.52
     autorytatywna
    0.52
    PathVariable
    0.51
    oredCriteria
    0.49
     CreateTagHelper
    0.49
    Activations Density 0.191%

    No Known Activations