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

    sentences with both "to" and a modal verb such as would, will, or must.

    oai_token-act-pair · gemini-2.0-flash

    to

    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
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    No Comments

    Negative Logits
    RenderAtEndOf
    -0.81
     NSCoder
    -0.72
     nakalista
    -0.62
    InstanceState
    -0.61
    Зноскі
    -0.59
     виправивши
    -0.58
    ::__
    -0.57
     GoogleFonts
    -0.56
    ReactDOM
    -0.56
    +#+#
    -0.54
    POSITIVE LOGITS
    단
    0.50
     hini
    0.49
     Invest
    0.48
     Winter
    0.48
    invest
    0.47
    اهد
    0.47
    Invest
    0.47
     invest
    0.46
    WireFormatLite
    0.46
     target
    0.46
    Activations Density 4.532%

    No Known Activations