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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words that often come before locations like, for example, countries

    oai_token-act-pair · gemini-2.0-flash

    promoting global science/technology

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
     Efq
    -1.41
     myſelf
    -1.24
     Monfieur
    -1.23
     Jefus
    -1.16
     purpoſe
    -1.16
     Shakspeare
    -1.12
     ſta
    -1.12
     Theſe
    -1.11
     Anſ
    -1.09
     Majefty
    -1.08
    POSITIVE LOGITS
     
    0.52
     an
    0.45
     The
    0.44
    ,
    0.43
     us
    0.41
     “
    0.39
     I
    0.39
     ‘
    0.38
     '
    0.38
     "
    0.38
    Activations Density 3.601%

    No Known Activations