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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6621
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    Explanations

    references to specific sports teams and fan experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.74
     ComVisible
    -0.70
     defaultstate
    -0.68
     snippetHide
    -0.68
    ChildScrollView
    -0.66
    transQ
    -0.62
     Wiktionnaire
    -0.61
    Hochspringen
    -0.60
    ſelf
    -0.60
    出版年
    -0.59
    POSITIVE LOGITS
     sports
    0.51
     sport
    0.45
     supporters
    0.41
     football
    0.41
     fans
    0.40
    応援
    0.37
     stadiums
    0.37
     боле
    0.36
     loyal
    0.36
     sporting
    0.36
    Activations Density 0.170%

    No Known Activations