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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8835
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    Explanations

    mentions of sports, teams, or athletic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    postsleuth
    -0.54
    opsida
    -0.44
    Personendaten
    -0.43
    ViewInit
    -0.42
     onResponse
    -0.41
     graciosas
    -0.41
     étrangères
    -0.40
     físicas
    -0.40
     regioni
    -0.40
     embarazada
    -0.39
    POSITIVE LOGITS
     Wildcats
    0.62
     Bulldogs
    0.61
     Vikings
    0.61
     Tigers
    0.59
     Bruins
    0.58
     Eagles
    0.57
     Panthers
    0.57
     Warriors
    0.56
     Broncos
    0.55
     Falcons
    0.54
    Activations Density 0.198%

    No Known Activations