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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 15418
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    Explanations

    terms related to wear and tear, particularly in mechanical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    naires
    -0.77
     متعلقه
    -0.75
    tnt
    -0.72
    yargs
    -0.66
     насељу
    -0.66
    ي
    -0.65
    nestjs
    -0.65
    HtmlAttribute
    -0.64
     Italijanski
    -0.62
    ی
    -0.60
    POSITIVE LOGITS
    er
    0.86
    rrrrrr
    0.76
    rrr
    0.74
    rrrrr
    0.73
    ER
    0.69
    ness
    0.66
    rrrr
    0.64
    ViewGroup
    0.64
    rr
    0.61
    adays
    0.60
    Activations Density 0.339%

    No Known Activations