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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. 9568
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    structured data elements such as IDs, descriptions, and their corresponding values in a list format

    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
     мәкал
    -0.84
     ویکی‌پدی
    -0.84
    expandindo
    -0.76
    protoimpl
    -0.73
    $_['
    -0.71
     Roskov
    -0.71
    RefNanny
    -0.70
    WebVitals
    -0.67
     Italijanski
    -0.67
    FunctionFlags
    -0.66
    POSITIVE LOGITS
     
    1.13
     
    0.37
    대로
    0.31
     フリル
    0.30
    suffering
    0.30
     ブラウス
    0.28
     NACIONAL
    0.27
     TÉCNICA
    0.27
    ORETICAL
    0.27
     &&
    0.26
    Activations Density 0.478%

    No Known Activations