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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 682
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    Explanations

    information about physical activities and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     المعيارى
    -0.62
     pinulongan
    -0.55
    hasMoreElements
    -0.52
    潢
    -0.49
     F
    -0.46
    esha
    -0.46
     techo
    -0.44
     feu
    -0.44
     fuoco
    -0.44
    mu
    -0.42
    POSITIVE LOGITS
     jogging
    0.99
     runners
    0.93
     marathon
    0.92
     jogger
    0.90
     joggers
    0.88
     walkers
    0.86
     Runners
    0.84
     Strava
    0.83
     triathlon
    0.83
    Marathon
    0.82
    Activations Density 0.316%

    No Known Activations