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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. 362
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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 @ 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
    脚注の使い方
    -0.50
     для
    -0.50
     para
    -0.49
     nonatomic
    -0.49
    Для
    -0.48
     AssemblyTitle
    -0.47
    دانشنامهٔ
    -0.47
    帖最后由
    -0.47
    Against
    -0.47
     PARA
    -0.47
    POSITIVE LOGITS
     kerana
    0.58
     wegen
    0.57
     vì
    0.53
     because
    0.52
     becauſe
    0.49
     siitä
    0.49
     dafür
    0.49
     atas
    0.47
    because
    0.47
     за
    0.46
    Activations Density 0.526%

    No Known Activations