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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 4015
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    references to specific football clubs and players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    __(/*!
    -0.83
     تضيفلها
    -0.82
    expandindo
    -0.74
    GTCX
    -0.73
    REET
    -0.72
     Yunus
    -0.71
    rifice
    -0.70
     disambiguazione
    -0.70
    TypedDataSet
    -0.69
    CWE
    -0.69
    POSITIVE LOGITS
    Juventus
    0.61
    Messi
    0.55
     Juventus
    0.55
     odpově
    0.52
    stanford
    0.51
    Ferrari
    0.49
    Germain
    0.48
    Barcelona
    0.47
    Liverpool
    0.47
     inoxid
    0.46
    Activations Density 0.480%

    No Known Activations