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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
    7. 6182
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    Explanations

    I am not able to determine one specific thing that this neuron finds, but it appears highly active on mixed language documents with some correlation to HTML tags and also other code blocks

    oai_token-act-pair · gemini-2.0-flash

    question/helping verbs

    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
    évaluateur
    -0.83
     المعيارى
    -0.79
    ########.
    -0.76
    +#+
    -0.75
    ')):
    -0.70
    UnusedPrivate
    -0.68
    CppCodeGen
    -0.66
    ')).
    -0.63
     mourut
    -0.61
     informée
    -0.60
    POSITIVE LOGITS
     Are
    1.10
     Is
    1.00
    Are
    0.90
     Has
    0.85
     Will
    0.83
     Have
    0.73
     Could
    0.73
     Would
    0.72
     Can
    0.72
    Is
    0.72
    Activations Density 1.471%

    No Known Activations