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    2. Gemma-2-2B
    3. 4-GEMMASCOPE-TRANSCODER-16K
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    words in varied contexts. It seems to activate on words describing equipment, head injuries, and traffic situations, as well as other things

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.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
    Personendaten
    -0.58
    WriteTagHelper
    -0.58
    AddHtmlAttribute
    -0.56
    ScopeManager
    -0.55
     pageContext
    -0.51
    RuleContext
    -0.50
    <%@
    -0.49
     reCAPTCHA
    -0.49
     الرياضيه
    -0.48
    sizeCache
    -0.48
    POSITIVE LOGITS
    достатки
    0.63
    AMIENTO
    0.60
    Manbalar
    0.59
    helf
    0.57
    IMENTAL
    0.56
    сшта
    0.54
    felizmente
    0.54
     Wiktionnaire
    0.54
     hyper
    0.52
    istice
    0.52
    Activations Density 8.519%

    No Known Activations