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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
    7. 1971
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    Explanations

    words in locations and buildings with government or criminal activity

    oai_token-act-pair · gemini-2.0-flash

    various entities

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     which
    -0.79
     Which
    -0.75
    which
    -0.71
     WHICH
    -0.69
    Which
    -0.67
    UseVisualStyle
    -0.59
    
    -0.59
     lesquelles
    -0.57
     lequel
    -0.55
     lesquels
    -0.55
    POSITIVE LOGITS
     Roskov
    0.89
     ویکی‌پدیا
    0.65
    GEBURTSDATUM
    0.64
     оригіналу
    0.61
    ImageContext
    0.59
     Wikimedijinoj
    0.58
    zzleHttp
    0.58
     Infórmanos
    0.57
    AnimationsModule
    0.55
    verwijspagina
    0.54
    Activations Density 4.041%

    No Known Activations