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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1911
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    Explanations

    data related to the prevalence of medical conditions or disorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    énario
    -0.66
     يتيمه
    -0.59
     الرياضيه
    -0.58
     للمعارف
    -0.57
    bootstrapcdn
    -0.53
    bnf
    -0.51
    Diwedd
    -0.50
    itinéraire
    -0.49
    statechange
    -0.48
    ={`/
    -0.48
    POSITIVE LOGITS
     prevalence
    0.71
    Prevalence
    0.64
     Prevalence
    0.63
     Verbreitung
    0.54
     widespread
    0.50
    率
    0.48
     Bevölkerung
    0.46
     percentage
    0.46
     popularidad
    0.45
     percentages
    0.45
    Activations Density 1.371%

    No Known Activations