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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    a lot of very weakly correlated words including "the", "android", "hello", "beautiful", "world", "unlimited", "from" and "around" suggesting that the neuron is not well-tuned to any specific context

    oai_token-act-pair · gemini-2.0-flash

    the

    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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    Negative Logits
    UrlResolution
    -0.56
    Detach
    -0.53
    SharedDtor
    -0.53
    ⓧ
    -0.52
    createStatement
    -0.51
    SourceChecksum
    -0.51
    GraphicsUnit
    -0.49
    ExtendWith
    -0.49
    ineno
    -0.48
     AttributeSet
    -0.47
    POSITIVE LOGITS
     World
    2.25
    World
    1.87
     WORLD
    1.26
     Worlds
    1.26
    WORLD
    1.13
     Globe
    1.12
     International
    1.07
     Mundial
    1.03
     Worldwide
    1.02
     Mondiale
    1.01
    Activations Density 7.121%

    No Known Activations