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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, specifically people's names and organizations.

    oai_token-act-pair · gemini-2.0-flash

    names

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
    BeginContext
    -1.36
     AssemblyTitle
    -1.08
     ExecuteAsync
    -1.00
    ContentAsync
    -1.00
     فريبيس
    -0.96
    دانشنامهٔ
    -0.96
    ValueStyle
    -0.95
    Diwedd
    -0.94
    تقاوى
    -0.94
    enumi
    -0.93
    POSITIVE LOGITS
     "
    0.42
     “
    0.41
     hubiese
    0.35
     «
    0.35
     normaux
    0.34
     apprécier
    0.34
     rire
    0.34
     traités
    0.34
     icke
    0.34
     '
    0.33
    Activations Density 5.116%

    No Known Activations