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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1820
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    Explanations

    text that discusses the act of addressing issues or concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 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
    ^(@)
    -0.89
    tagHelperRunner
    -0.85
     Normdatei
    -0.84
     Вікі
    -0.81
     ویکی‌پدیای
    -0.77
     وتسجيلات
    -0.74
     protoimpl
    -0.73
    ніципа
    -0.72
     IBOutlet
    -0.72
    protoimpl
    -0.72
    POSITIVE LOGITS
     addresses
    0.86
     addressing
    0.72
     depth
    0.67
     Addressing
    0.60
    去
    0.59
     address
    0.57
     Addresses
    0.56
    Addressing
    0.56
     addressed
    0.55
    集
    0.54
    Activations Density 0.092%

    No Known Activations