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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. 11834
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    Explanations

    terms and phrases related to liver and renal health issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    muk
    -0.62
     defStyleAttr
    -0.62
     Woodford
    -0.61
    gitlab
    -0.59
     Muk
    -0.59
     Cinque
    -0.58
     Colorado
    -0.56
     сравнению
    -0.55
    #
    -0.55
     להת
    -0.55
    POSITIVE LOGITS
     Liver
    1.16
     liver
    1.12
    Liver
    1.00
     LIVER
    1.00
     Renal
    0.96
     livers
    0.96
     kidneys
    0.94
     renal
    0.94
    Renal
    0.89
     hepat
    0.88
    Activations Density 0.725%

    No Known Activations