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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. 7198
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    references to wildlife management and hunting regulations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rawDesc
    -0.33
     ddelweddau
    -0.31
    مراجع
    -0.31
    исленность
    -0.30
    nestjs
    -0.28
    océ
    -0.28
     zejména
    -0.28
     Völker
    -0.28
     espíritu
    -0.27
    drawSprites
    -0.27
    POSITIVE LOGITS
     Zambia
    1.03
    Zambia
    0.91
     Zamb
    0.90
     Lusaka
    0.90
     Copper
    0.72
    Copper
    0.71
     copper
    0.67
     COPPER
    0.65
    évaluateur
    0.60
     Chil
    0.60
    Activations Density 0.124%

    No Known Activations