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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3896
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    Explanations

    named entities and proper nouns related to media and entertainment, including names of comic book publishers, authors, and character titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    رشف
    -0.84
     שוליים
    -0.80
     незавершена
    -0.73
    CrossRef
    -0.68
     NSCoder
    -0.67
    Tembelea
    -0.60
    })$}
    -0.60
    "])
    -0.59
     فريبيس
    -0.58
    Билгалдахарш
    -0.58
    POSITIVE LOGITS
     popularidad
    0.39
     acrylique
    0.38
     often
    0.38
     habituellement
    0.38
     Entertainment
    0.37
     popularity
    0.36
     telev
    0.36
     normally
    0.35
     continúas
    0.35
     entertainment
    0.33
    Activations Density 0.893%

    No Known Activations