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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    verbs strongly associated with the prepositions "to" and/or "for."

    oai_token-act-pair · gemini-2.0-flash

    that

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
    quels
    -0.65
     quien
    -0.55
     ones
    -0.51
    ChromeDriver
    -0.50
    rrggbb
    -0.50
    ಾಗಿ
    -0.49
     noDo
    -0.48
    AutoScale
    -0.48
    kmale
    -0.46
     cual
    -0.44
    POSITIVE LOGITS
     that
    3.02
    that
    2.02
     That
    1.72
    That
    1.70
     THAT
    1.57
     rằng
    1.53
     bahwa
    1.52
    THAT
    1.40
     thats
    1.30
    thats
    1.28
    Activations Density 2.612%

    No Known Activations