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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7923
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    Explanations

    statistical relationships between variables, particularly in sports and demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Skate
    -0.60
    Hockey
    -0.59
     Basketball
    -0.58
    Volleyball
    -0.57
    Skate
    -0.57
    Basketball
    -0.57
     Volley
    -0.57
    Bowling
    -0.57
     Swim
    -0.56
     Bowling
    -0.56
    POSITIVE LOGITS
     competitive
    0.96
     sports
    0.90
     sport
    0.85
     physical
    0.85
     athletic
    0.84
     sporting
    0.82
     competition
    0.79
     physically
    0.78
    competitive
    0.75
    physical
    0.71
    Activations Density 0.354%

    No Known Activations