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

    frequently used words like "a", "the", "that", "as", and "is", while also occasionally activating for words related to technology or government.

    oai_token-act-pair · gemini-2.0-flash

    say "word"

    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
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    Negative Logits
     snippetHide
    -1.25
     ―――――
    -1.15
    VolleyError
    -1.13
    ⓧ
    -1.09
    IUrlHelper
    -1.09
     myſelf
    -1.09
    +#+#
    -1.07
     itſelf
    -1.06
     ویکی‌پدی
    -1.05
     Houſe
    -1.05
    POSITIVE LOGITS
     d
    0.61
     N
    0.60
     B
    0.59
     von
    0.59
     D
    0.57
     a
    0.57
     A
    0.57
    ,
    0.56
     la
    0.56
     sa
    0.56
    Activations Density 3.593%

    No Known Activations