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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5539
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    Explanations

    references to buildings or architectural structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estekak
    -0.70
     surla
    -0.69
    Datuak
    -0.68
     ब्रेकडाउन
    -0.68
     ویکی‌پدی
    -0.67
    Tikang
    -0.66
    DIPSETTING
    -0.64
     الرياضيه
    -0.63
    Chham
    -0.60
    fjspx
    -0.60
    POSITIVE LOGITS
     buildings
    0.62
     Buildings
    0.56
     opportunity
    0.56
     opportunities
    0.55
     annual
    0.54
     orange
    0.54
     assumption
    0.51
     py
    0.51
     building
    0.51
    py
    0.51
    Activations Density 0.255%

    No Known Activations