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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    intensification words such as "very", "highly", etc., sometimes in the specific context of comparing small and large numerical values

    oai_token-act-pair · gemini-2.0-flash

    very

    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
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    Negative Logits
     himſelf
    -1.12
     themſelves
    -1.11
     Anſ
    -1.09
     myſelf
    -1.08
    ftagPool
    -1.01
     ſtate
    -1.00
     Monfieur
    -0.98
     itſelf
    -0.98
     anſ
    -0.97
     Jefus
    -0.97
    POSITIVE LOGITS
     difficult
    0.44
     large
    0.40
    __':
    0.39
     high
    0.39
     good
    0.38
     complicado
    0.38
    ezy
    0.37
     funny
    0.37
    __":
    0.37
    ͐
    0.37
    Activations Density 2.660%

    No Known Activations