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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 666
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    Explanations

    numerical statistics related to sports, particularly basketball

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 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
    Personendaten
    -0.63
     Italij
    -0.55
     césped
    -0.52
     Photocase
    -0.49
     delantera
    -0.47
     Ingeniería
    -0.45
     cuarzo
    -0.44
     lawn
    -0.44
     rumput
    -0.44
     Spazier
    -0.44
    POSITIVE LOGITS
     NBA
    1.13
     basketball
    0.99
    Basketball
    0.98
     Basketball
    0.97
    NBA
    0.93
    basketball
    0.92
    🏀
    0.90
     FIBA
    0.85
    nba
    0.82
     nba
    0.81
    Activations Density 0.178%

    No Known Activations