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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. 73
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    Explanations

    proper nouns and specific place names related to trails and parks

    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
     asumir
    -0.36
     electrónica
    -0.35
     Misalnya
    -0.34
     sonre
    -0.32
     desapar
    -0.31
     comprensión
    -0.30
     chaqueta
    -0.30
     completos
    -0.30
     procé
    -0.30
     eficacia
    -0.30
    POSITIVE LOGITS
     Creek
    0.83
    Creek
    0.79
    creek
    0.78
     ब्रेकडाउन
    0.71
     Ridge
    0.68
    ViewImports
    0.68
     creek
    0.67
     Hill
    0.66
    ville
    0.66
     Pointe
    0.65
    Activations Density 0.508%

    No Known Activations