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    3. Gemma-2-2B
    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    negative sentiment in discussions about healthcare.

    oai_token-act-pair · gemini-2.0-flash

    problems

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
    )"),
    -0.50
     Cha
    -0.47
    чай
    -0.46
     سكانية
    -0.44
    ريل
    -0.42
    Tē
    -0.40
    aarrggbb
    -0.39
     lumineuse
    -0.39
    +#+#
    -0.38
     Hor
    -0.38
    POSITIVE LOGITS
     فريبيس
    0.93
    
    0.73
    AxisAlignment
    0.73
    addCriterion
    0.72
    contentLoaded
    0.69
     Wicidata
    0.68
     INTERESAR
    0.66
    脚注の使い方
    0.63
    Revenir
    0.62
    MigrationBuilder
    0.60
    Activations Density 6.878%

    No Known Activations