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    3. Gemma-2-2B
    5. 0-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    people related to particular topics like authors, fictional characters and sports players

    oai_token-act-pair · gemini-2.0-flash

    famous people

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.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
     Arteta
    -1.08
     Bolsonaro
    -1.05
     Klopp
    -0.98
     Buhari
    -0.98
     Sunak
    -0.96
     Mugabe
    -0.94
     Neymar
    -0.94
     Mbappe
    -0.93
     Haaland
    -0.93
    <bos>
    -0.93
    POSITIVE LOGITS
     Gilli
    0.70
    nitive
    0.70
     namanya
    0.66
    worldwide
    0.64
     Fingers
    0.64
    edback
    0.63
    nexpected
    0.62
     Lagi
    0.62
    pective
    0.61
     mence
    0.60
    Activations Density 2.766%

    No Known Activations