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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14056
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    Explanations

    references to Latin America and related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hadas
    -0.78
     desmotivaciones
    -0.74
     Monfieur
    -0.73
     Milán
    -0.72
     Chinois
    -0.72
    ðsíða
    -0.72
     Moscú
    -0.72
     Houſe
    -0.69
     myſelf
    -0.69
     milano
    -0.69
    POSITIVE LOGITS
     Latin
    0.95
    Latin
    0.82
     Brazilian
    0.70
     Peru
    0.69
     Colombian
    0.68
     Brazil
    0.65
     Boli
    0.65
    Peru
    0.63
     Peruvian
    0.63
     Colombia
    0.62
    Activations Density 0.579%

    No Known Activations