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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    I am unable to determine the behavior of this neuron confidently. It may be detecting food item lists or programming terms in texts, but more information is needed to be certain

    oai_token-act-pair · gemini-2.0-flash

    set

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
     مشين
    -0.86
    AutoScaleMode
    -0.85
    posedge
    -0.78
     kasarigan
    -0.77
     ExecuteAsync
    -0.75
    GEBURTSDATUM
    -0.75
     NSCoder
    -0.74
    DockStyle
    -0.74
    Portály
    -0.73
     bezeichneter
    -0.71
    POSITIVE LOGITS
     set
    3.33
     Set
    2.88
    set
    2.77
    Set
    2.70
     sets
    2.55
     SET
    2.42
    SET
    2.20
     Sets
    2.20
    sets
    2.02
    Sets
    1.95
    Activations Density 7.412%

    No Known Activations