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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words related to cooking and food

    oai_token-act-pair · gemini-2.0-flash

    Cooked, succulent meats

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
    EndProject
    -0.64
    новништво
    -0.58
    تقاوى
    -0.50
    GenerationType
    -0.50
     MyBatis
    -0.48
     utilisons
    -0.48
    SourceChecksum
    -0.47
    AddHtmlAttribute
    -0.47
    DoubleQuotes
    -0.47
     raw
    -0.47
    POSITIVE LOGITS
    ########.
    0.79
     succulent
    0.63
     mouth
    0.57
     EconPapers
    0.56
     Yield
    0.55
     juicy
    0.54
     metav
    0.53
     Succ
    0.52
     moist
    0.52
     FLASH
    0.51
    Activations Density 1.072%

    No Known Activations