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    3. Gemma-2-2B
    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, specifically names of people and organizations, and potentially significant event-related words like wars and political terms

    oai_token-act-pair · gemini-2.0-flash

    famous people

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
    ⓧ
    -0.75
     GenerationType
    -0.68
    openzeppelin
    -0.66
    +#+#
    -0.64
    Xna
    -0.64
    adaptiveStyles
    -0.63
     utafitiHapana
    -0.62
    KommentareTeilen
    -0.61
     pép
    -0.61
    OrNil
    -0.61
    POSITIVE LOGITS
     themſelves
    0.53
     anſ
    0.52
    atrième
    0.45
     poffe
    0.41
     deſt
    0.40
     Rossetti
    0.40
     Mukherjee
    0.40
     raiſ
    0.39
    сторія
    0.38
    ardonnay
    0.38
    Activations Density 4.169%

    No Known Activations