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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12554
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    structured numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ंदीखरीदारी
    -0.58
    adaptiveStyles
    -0.55
    SequentialGroup
    -0.47
    脚注の使い方
    -0.45
     resourceCulture
    -0.44
    
    -0.43
    transQ
    -0.43
    expandindo
    -0.42
    Autoritní
    -0.40
    ᅠ
    -0.39
    POSITIVE LOGITS
     million
    1.05
     Million
    0.96
     billion
    0.94
     MILLION
    0.91
    million
    0.91
     millions
    0.89
    Million
    0.88
     Billion
    0.86
     Millions
    0.85
     billions
    0.83
    Activations Density 1.414%

    No Known Activations