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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 13893
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    Explanations

    specific player and team names in the context of football matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plist
    -0.64
     Cougars
    -0.60
     Aberdeen
    -0.57
     Dickey
    -0.57
     Беларусь
    -0.55
    Aberdeen
    -0.55
     SG
    -0.55
     foams
    -0.53
     aer
    -0.53
     Valerie
    -0.52
    POSITIVE LOGITS
     Chelsea
    1.54
    Chelsea
    1.30
     chelsea
    1.15
     Blues
    1.10
     Stamford
    1.05
    chelsea
    1.03
     Lampard
    1.02
    Blues
    0.97
    chel
    0.88
     Chel
    0.87
    Activations Density 0.270%

    No Known Activations