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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 6448
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    Explanations

    names of notable individuals associated with sports, particularly rugby

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
     يتيمه
    -0.56
     NET
    -0.51
    enumii
    -0.48
    Parameteri
    -0.48
    
    -0.48
     >=",
    -0.48
     tiens
    -0.47
    remes
    -0.47
    AddTagHelper
    -0.47
     zie
    -0.47
    POSITIVE LOGITS
     rugby
    0.96
     Rugby
    0.96
     scrum
    0.90
    rugby
    0.84
    Rugby
    0.82
    🏉
    0.71
     Scrum
    0.66
     flan
    0.66
     Bourgoin
    0.64
     fly
    0.63
    Activations Density 0.053%

    No Known Activations