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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 3560
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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 @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Madsen
    -0.40
    Cuáles
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    voerd
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     Vasquez
    -0.39
    libatkan
    -0.39
     Metzger
    -0.39
    elola
    -0.38
     Vogt
    -0.37
     Entfer
    -0.36
     Forsch
    -0.36
    POSITIVE LOGITS
    Autoritní
    0.75
    WebVitals
    0.67
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    0.65
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    0.64
     greateſt
    0.62
     Roskov
    0.61
     themſelves
    0.60
    <unused43>
    0.59
     houſe
    0.59
    <pad>
    0.59
    Activations Density 0.359%

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