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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 27553
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    Explanations

    initial sentences or phrases in formal documents or applications

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

    alpine Tibetan Plateau

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bayou
    -0.73
     mangroves
    -0.62
     Florida
    -0.59
    Florida
    -0.58
    Jacksonville
    -0.57
     FLORIDA
    -0.57
     mangrove
    -0.56
     Jacksonville
    -0.56
     Pensacola
    -0.56
     createState
    -0.55
    POSITIVE LOGITS
     alpine
    1.05
     Alpine
    0.98
     mountaine
    0.96
     mountain
    0.94
     Tibet
    0.91
     Himalayan
    0.89
     Tibetan
    0.88
    Alpine
    0.85
     alpin
    0.82
     skiing
    0.81
    Activations Density 0.166%

    No Known Activations