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    3. Gemma-2-2B
    5. 21-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    This neuron seems to be responding strongly to German words and sentence structure

    oai_token-act-pair · gemini-2.0-flash

    words related to self or individuality

    np_token-act-pair-logits · gpt-4o-mini

    German language

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_21/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.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
    原始内容存档于
    -0.84
    MLLoader
    -0.83
    ecutive
    -0.74
      (
    -0.73
    mergeFrom
    -0.73
     وتسجيلات
    -0.73
    viewDidLoad
    -0.71
    amaño
    -0.70
    newblock
    -0.70
    })();
    -0.70
    POSITIVE LOGITS
    ſelves
    0.61
     unſ
    0.61
     depositphotos
    0.60
     pleaſure
    0.59
     uſed
    0.58
     myſelf
    0.58
     ſche
    0.54
    ſelf
    0.52
     ſtre
    0.52
     perfons
    0.51
    Activations Density 2.600%

    No Known Activations