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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 13028
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    references to corruption and financial misconduct

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tfrac
    -0.43
     gracias
    -0.43
     Spanien
    -0.41
     dichos
    -0.40
     Spanish
    -0.40
    fär
    -0.40
    mäs
    -0.39
    Nombre
    -0.39
     esfuerzos
    -0.39
     numerosos
    -0.38
    POSITIVE LOGITS
     Brazilian
    0.75
     brazilian
    0.72
     Brazil
    0.66
    Brazilian
    0.66
     São
    0.63
     Brasília
    0.63
    Brazil
    0.61
     Braz
    0.58
    brazilian
    0.58
     BRAZIL
    0.57
    Activations Density 0.383%

    No Known Activations