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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8
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    Explanations

    mentions of different types of sports, particularly football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Friar
    -0.84
     Breen
    -0.72
    olyte
    -0.65
     Selby
    -0.65
     Mirza
    -0.64
     Medea
    -0.63
     boucles
    -0.63
     createContext
    -0.63
     tropicales
    -0.62
     Kenobi
    -0.62
    POSITIVE LOGITS
     football
    3.19
     Football
    2.82
    football
    2.69
    Football
    2.63
     FOOTBALL
    2.57
     footballers
    1.81
     footballer
    1.75
     footy
    1.64
     fotball
    1.61
     soccer
    1.59
    Activations Density 0.061%

    No Known Activations