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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 9150
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    references to resource allocation and expenditure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     يتيمه
    -0.56
    mybatisplus
    -0.55
    ISupport
    -0.53
    utuhkan
    -0.49
     Majefty
    -0.47
     onely
    -0.47
    WebVitals
    -0.47
     kuni
    -0.45
    новниш
    -0.45
     clim
    -0.45
    POSITIVE LOGITS
     devote
    1.04
     devoted
    1.01
     devoting
    0.94
     devotes
    0.94
     dedicated
    0.93
     dedicar
    0.89
     consacré
    0.89
     dedicate
    0.86
     spent
    0.84
     Spent
    0.84
    Activations Density 0.224%

    No Known Activations