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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    mentions of Japanese people or companies in technical documents

    oai_token-act-pair · gemini-2.0-flash

    Japanese names

    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
    ">//
    -0.78
    :✨
    -0.64
    ConstraintMaker
    -0.64
    requireNonNull
    -0.64
     nô
    -0.63
     nahilalakip
    -0.62
     Avis
    -0.62
    exitRule
    -0.60
    <?
    -0.59
    adaptiveStyles
    -0.58
    POSITIVE LOGITS
    jsdelivr
    0.43
    CPtr
    0.42
     AttributeSet
    0.41
    pheny
    0.41
    ETRY
    0.39
    Sklici
    0.39
    +#+
    0.38
    NameInMap
    0.37
    πουργ
    0.36
    örgy
    0.36
    Activations Density 1.032%

    No Known Activations