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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
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    This neuron seems to have multiple behaviors, but the most defining one is that it identifies funding sources in research papers

    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_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
    findpost
    -1.19
     الرياضيه
    -0.95
    InputBorder
    -0.86
    évaluateur
    -0.85
    verwijspagina
    -0.81
    Архівовано
    -0.81
    uxxxx
    -0.80
    __(/*!
    -0.75
    市镇
    -0.75
    localctx
    -0.75
    POSITIVE LOGITS
     Food
    0.48
    Food
    0.47
     lupa
    0.43
    ichni
    0.43
     food
    0.42
    扮演
    0.41
     alimentaire
    0.40
     alimentaires
    0.40
    Fill
    0.40
     stre
    0.40
    Activations Density 0.576%

    No Known Activations