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

    proper nouns or names of people and places, especially in legal documents or historical texts

    oai_token-act-pair · gemini-2.0-flash

    Names/places

    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
     odds
    -0.45
     brancas
    -0.42
     médié
    -0.38
     Paesi
    -0.38
     typique
    -0.38
     /
    -0.38
     nalazi
    -0.38
     temporaire
    -0.38
     znám
    -0.37
     tromper
    -0.37
    POSITIVE LOGITS
     للمعارف
    0.91
    ApiProperty
    0.86
     esternos
    0.85
     doInBackground
    0.85
    ResumeLayout
    0.83
    parsedMessage
    0.82
    IntoConstraints
    0.82
     &___
    0.81
    IsMutable
    0.81
    发表于
    0.79
    Activations Density 10.182%

    No Known Activations