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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 11096
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    keywords related to historical sports events and performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interopRequire
    -0.60
     فريبيس
    -0.55
    AndEndTag
    -0.53
     onCreateView
    -0.53
     WALTZ
    -0.52
    expandindo
    -0.51
     kasarigan
    -0.50
    BeginInit
    -0.49
    Rptr
    -0.49
     mira
    -0.49
    POSITIVE LOGITS
     rugby
    0.80
    rugby
    0.73
     Rugby
    0.68
    🏉
    0.68
     football
    0.57
    Rugby
    0.57
     Football
    0.56
     jugadores
    0.54
     footy
    0.51
     footballers
    0.50
    Activations Density 0.061%

    No Known Activations