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    3. Gemma-2-2B
    5. 19-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words associated with groups, organizations, or political entities

    oai_token-act-pair · gemini-2.0-flash

    organizations

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
     who
    -1.62
    who
    -1.38
    Who
    -1.28
     ktorí
    -1.18
     whom
    -1.18
     Who
    -1.18
     kteří
    -1.13
     quien
    -1.11
     quién
    -1.06
     którzy
    -1.05
    POSITIVE LOGITS
     which
    1.38
    which
    1.11
     Which
    1.09
    Which
    1.07
     WHICH
    1.03
     wich
    0.74
    hich
    0.71
     cual
    0.65
     które
    0.63
     vilket
    0.58
    Activations Density 1.237%

    No Known Activations