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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 6292
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    sports statistics and player performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MemoryWarning
    -0.59
     Chwiliwch
    -0.49
     betweenstory
    -0.48
     ecológica
    -0.47
     adultes
    -0.46
    StoryboardSegue
    -0.46
    ViewImports
    -0.46
     defaultstate
    -0.46
    MessageTagHelper
    -0.45
    🏻‍♀️
    -0.45
    POSITIVE LOGITS
     offseason
    0.90
     postseason
    0.75
     preseason
    0.72
     ESPN
    0.67
     playoff
    0.64
     teammates
    0.60
    ESPN
    0.60
     storylines
    0.59
     LeBron
    0.57
     NFL
    0.57
    Activations Density 0.857%

    No Known Activations