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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    This neuron seems to have many different contexts it activates on, but a common feature is that it looks for words that signify amounts of time ("week", "year", "last week", "this month") and also sporting references (various tokens in the Manchester United section but also "X Factor", "

    oai_token-act-pair · gemini-2.0-flash

    Time and dates

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
     autorytatywna
    -0.98
    脚注の使い方
    -0.90
    rrggbb
    -0.82
    ArrowToggle
    -0.82
     cherchés
    -0.82
    CodedInputStream
    -0.80
    ValueStyle
    -0.79
    rawDesc
    -0.78
    __(/*!
    -0.77
    IUrlHelper
    -0.77
    POSITIVE LOGITS
    ้า
    0.47
     financial
    0.44
    vula
    0.41
    fie
    0.40
    dina
    0.39
    verten
    0.38
    ]][
    0.38
    "}\
    0.38
    setEditable
    0.37
     pom
    0.35
    Activations Density 1.158%

    No Known Activations