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    3. Gemma-2-2B
    5. 18-GEMMASCOPE-TRANSCODER-16K
    7. 7094
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    Explanations

    general language related to creating things and athletic teams along with language related to training the R&D workforce

    oai_token-act-pair · gemini-2.0-flash

    skilled professionals

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_18/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.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
    CloseOperation
    -0.83
    migrationBuilder
    -0.71
     autorytatywna
    -0.64
    脚注の使い方
    -0.60
    mergeFrom
    -0.59
    InputBorder
    -0.59
    GEBURTSDATUM
    -0.57
     fotografie
    -0.56
    Autoritní
    -0.56
    kháu
    -0.55
    POSITIVE LOGITS
     skilled
    0.70
     specialists
    0.67
     trained
    0.63
     qualified
    0.60
     Arbeiter
    0.59
    charis
    0.59
     soldiers
    0.58
     technicians
    0.57
     experts
    0.55
     workers
    0.54
    Activations Density 1.170%

    No Known Activations