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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 3689
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    Explanations

    names of participants in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     voer
    -0.47
     kysy
    -0.47
     výro
    -0.46
     paik
    -0.42
     poži
    -0.41
     cuerpos
    -0.41
     prefeitura
    -0.40
     colectiva
    -0.40
    íritu
    -0.40
     tänka
    -0.39
    POSITIVE LOGITS
     Tennis
    0.93
    Tennis
    0.90
     tennis
    0.88
    tennis
    0.80
    okovic
    0.75
     Djokovic
    0.74
     Wimbledon
    0.66
    PMailer
    0.65
     tenis
    0.64
     padel
    0.62
    Activations Density 0.142%

    No Known Activations