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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 7853
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    Explanations

    references to specific species and geographical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    geographical locations and place names, particularly those related to Brazil and South America.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UniformLocation
    -0.58
     Girona
    -0.58
     Navarra
    -0.58
     Sicilia
    -0.57
     Cyprus
    -0.55
     Maroc
    -0.54
     Bulgar
    -0.54
     Kabul
    -0.54
     Zaragoza
    -0.54
     Afgan
    -0.53
    POSITIVE LOGITS
     Brazilian
    0.99
     Brazil
    0.92
    Brazilian
    0.91
     Amazon
    0.88
    Brazil
    0.87
    Amazon
    0.82
     BRAZIL
    0.77
     amazon
    0.75
     Брази
    0.75
    巴西
    0.72
    Activations Density 0.356%

    No Known Activations