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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10806
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    INDEX
    Explanations

    references to patients and subjects in medical and research contexts

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

    "Patients" or "subjects" followed by a comma or relative pronoun

    np_acts-logits-general · gemini-2.0-flash

    people described by 'who'

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.90
     '\\;'
    -0.87
     kasarigan
    -0.87
    ViewImports
    -0.84
    ChildScrollView
    -0.82
     Roskov
    -0.81
     EconPapers
    -0.80
    脚注の使い方
    -0.79
     ligiloj
    -0.79
    ///</
    -0.79
    POSITIVE LOGITS
     who
    1.46
     którzy
    1.04
     whom
    1.04
     kteří
    0.97
    who
    0.93
     ktorí
    0.92
    whom
    0.74
    们
    0.73
     whose
    0.71
    Who
    0.68
    Activations Density 0.948%

    No Known Activations