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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 6375
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    proper nouns and references to people or entities in specific categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.64
    httphttps
    -0.52
     ayuntamiento
    -0.52
    NameInMap
    -0.47
     dAtA
    -0.46
     zijne
    -0.44
     Shandong
    -0.42
     recaudación
    -0.42
     Meksi
    -0.41
     transférez
    -0.41
    POSITIVE LOGITS
     Colombian
    1.08
     Colombia
    1.06
    Colombia
    0.93
     Bogota
    0.86
     Columbia
    0.79
     colombiano
    0.78
     colombia
    0.77
     Bogotá
    0.76
     colombiana
    0.74
     colomb
    0.72
    Activations Density 0.168%

    No Known Activations