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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. 15619
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    phrases related to high consumption or lifestyle habits.is

    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
     חיצוניים
    -0.88
     Shakspeare
    -0.70
     kaynağından
    -0.70
     duquel
    -0.69
    Fordítás
    -0.68
    IVEREF
    -0.68
    الدراسه
    -0.68
    WaitGroup
    -0.68
     يتيمه
    -0.67
     myſelf
    -0.66
    POSITIVE LOGITS
     heavy
    0.72
    重
    0.68
    consuming
    0.64
     Heavy
    0.62
    Ideally
    0.62
    KommentareTeilen
    0.62
    awt
    0.59
    sized
    0.59
    heavy
    0.58
     Ideally
    0.58
    Activations Density 0.150%

    No Known Activations