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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5111
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    Explanations

    proper nouns related to sports and their players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     xoay
    -0.50
     مرئيه
    -0.47
     detailsNormal
    -0.47
     OkHttpClient
    -0.46
     EconPapers
    -0.46
    клопе
    -0.44
     препратки
    -0.44
    Jeografia
    -0.44
    Cuánt
    -0.43
     fenomeno
    -0.43
    POSITIVE LOGITS
     Broncos
    0.76
     Mets
    0.67
     Packers
    0.64
     Oilers
    0.63
     Surface
    0.61
     Vikings
    0.60
     Padres
    0.59
     Colts
    0.58
     Dodgers
    0.58
     Seahawks
    0.57
    Activations Density 1.468%

    No Known Activations