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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 18131
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    Explanations

    references to veterans and the Department of Veterans Affairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -1.00
    
    -0.90
    esgue
    -0.85
    IsContent
    -0.85
     InputDecoration
    -0.83
     CreateTagHelper
    -0.82
    CHD
    -0.79
    lamabad
    -0.79
    MeasureSpec
    -0.76
    ثيق
    -0.75
    POSITIVE LOGITS
     veterans
    1.16
     Veterans
    1.09
     VETER
    1.07
    Veterans
    1.02
     Veteran
    1.00
     Veter
    0.97
     veteran
    0.96
    Veteran
    0.87
    veter
    0.86
     vété
    0.85
    Activations Density 0.008%

    No Known Activations