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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1300
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    elements of C-style programming syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     juos
    -0.35
     tuot
    -0.33
     antaranya
    -0.31
     capito
    -0.31
     colpa
    -0.29
    glVertex
    -0.29
     léč
    -0.29
    ImageContext
    -0.29
     ύ
    -0.29
     meille
    -0.28
    POSITIVE LOGITS
     nahilalakip
    0.60
    ruptedException
    0.60
     CreateTagHelper
    0.60
    AndEndTag
    0.60
    ariConfig
    0.56
    
    0.55
    afficheront
    0.54
     שוליים
    0.53
     ब्रेकडाउन
    0.53
    houette
    0.52
    Activations Density 0.268%

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