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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 6006
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    statistics and performance metrics related to sports players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     idéia
    -0.70
     mußte
    -0.63
     muß
    -0.63
     mußten
    -0.62
     läßt
    -0.60
    luß
    -0.56
     daß
    -0.47
     Schluß
    -0.47
     wußte
    -0.46
     negeri
    -0.42
    POSITIVE LOGITS
     ⁠
    0.63
     prioritizing
    0.60
     prioritize
    0.60
     prioritized
    0.59
     impactful
    0.58
     ✅
    0.56
     tasked
    0.56
     macOS
    0.56
     TikTok
    0.54
     prioriti
    0.53
    Activations Density 0.231%

    No Known Activations