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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 8972
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    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
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    No Comments

    Negative Logits
     nahilalakip
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    商品説明
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    MathML
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    .*")]
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     kasarigan
    -0.40
    writeFieldEnd
    -0.38
    ArgumentParser
    -0.37
    offsetof
    -0.36
     csin
    -0.36
    PRWEB
    -0.34
    POSITIVE LOGITS
     الرياضيه
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    “.
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    ftagPool
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     חיצוניים
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    存于互联网档案馆
    0.43
     "").
    0.42
    Activations Density 1.113%

    No Known Activations