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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 1177
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    INDEX
    Explanations

    numeric and statistical data associated with sports players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Athletes or sports players

    np_acts-logits-general · gemini-2.0-flash

    talented young player

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    expandindo
    -0.45
    
    -0.37
     répondu
    -0.37
     itſelf
    -0.35
     rispondere
    -0.34
    éco
    -0.34
    AutoScaleMode
    -0.34
    PARATUS
    -0.33
    standes
    -0.33
     anſ
    -0.33
    POSITIVE LOGITS
     versatility
    0.66
    balleur
    0.66
     player
    0.66
     talented
    0.65
     versatile
    0.64
     talent
    0.60
     rookie
    0.57
     promising
    0.57
     young
    0.57
     youngster
    0.56
    Activations Density 0.245%

    No Known Activations