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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    This neuron seems to inconsistently activate on a variety of words, but appears to be highly activated by the words in the example "ate pretzels and cheese", so it is most likely looking for food.

    oai_token-act-pair · gemini-2.0-flash

    food

    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
    Not in Any Lists

    No Comments

    Negative Logits
     متعلقه
    -0.60
    uesia
    -0.54
    ftagPool
    -0.53
     packet
    -0.52
    dispatch
    -0.50
     NSCoder
    -0.50
    ContextHolder
    -0.49
    mockMvc
    -0.49
    kehr
    -0.49
    useNewUrlParser
    -0.48
    POSITIVE LOGITS
    belly
    0.58
     tattooed
    0.51
    χύ
    0.50
     HttpNotFound
    0.50
     AppCompatTheme
    0.50
    Tij
    0.50
     Boar
    0.49
     للاسماء
    0.48
     sawdust
    0.47
    SuspendLayout
    0.47
    Activations Density 4.199%

    No Known Activations