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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 4607
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    Explanations

    references to individuals, particularly with titles or honorifics like "Mr."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    titles of people (like "Mr.") in legal or professional documents.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     levens
    -0.52
     geïsole
    -0.48
     zicht
    -0.47
     pagină
    -0.43
     jalur
    -0.43
     verspre
    -0.43
    ILog
    -0.40
     inşa
    -0.40
     trekken
    -0.40
    ințe
    -0.40
    POSITIVE LOGITS
     Mr
    1.08
    Mr
    1.01
     mr
    0.87
     Mrs
    0.81
     آقای
    0.80
     Messrs
    0.79
     Mister
    0.79
     Herrn
    0.78
     monsieur
    0.77
     Monfieur
    0.77
    Activations Density 0.076%

    No Known Activations