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

    This neuron seems to activate on common English words like articles, prepositions, and conjunctions, plus some verbs related to acquiring or moving objects.

    oai_token-act-pair · gemini-2.0-flash

    packs of items

    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
    LookAnd
    -0.61
    Sets
    -0.59
     stocks
    -0.56
    ingway
    -0.56
    fitriones
    -0.55
    ArgsConstructor
    -0.54
     sets
    -0.53
     set
    -0.53
     Sets
    -0.52
    DATABASES
    -0.50
    POSITIVE LOGITS
     per
    0.59
    CloseOperation
    0.50
    tagHelperRunner
    0.50
      (
    0.49
     nahilalakip
    0.49
    PositiveButton
    0.49
     transférez
    0.49
    userdetails
    0.48
    ValueStyle
    0.48
     doInBackground
    0.48
    Activations Density 2.017%

    No Known Activations