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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 9104
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    references to engineers and engineering-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    -0.56
    AndEndTag
    -0.54
     للمعارف
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     referrerpolicy
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     يتيمه
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    ADELPHIA
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     parallel
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    Derbyniad
    -0.46
    Rhestr
    -0.44
    umenten
    -0.44
    POSITIVE LOGITS
     engineer
    1.03
     Engineer
    0.98
     engineering
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    Engineer
    0.90
    engineer
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    engineering
    0.87
     Eng
    0.84
     engineers
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     Engineering
    0.83
     Engineers
    0.81
    Activations Density 0.263%

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