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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 69818
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    Explanations

    references to medical conditions and their prevalence

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

    prevalence of millions affected

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Obrador
    -0.53
     يتيمه
    -0.44
    期刊论文
    -0.43
     opérateurs
    -0.41
     peligros
    -0.40
     dangereux
    -0.39
     actionMode
    -0.39
    AccessorTable
    -0.39
     gefährlich
    -0.38
     MONITORING
    -0.36
    POSITIVE LOGITS
     millions
    0.70
     AssemblyCulture
    0.66
    millions
    0.63
     Millions
    0.61
    Millions
    0.59
     prevalence
    0.55
     Americans
    0.55
     estimated
    0.54
     Normdatei
    0.51
     Prevalence
    0.51
    Activations Density 0.048%

    No Known Activations