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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5167
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    Explanations

    references to prevalence and associations with health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kits
    -0.40
    WriteBarrier
    -0.40
    __()
    -0.38
    payee
    -0.38
     marinade
    -0.37
    天候
    -0.37
    AnchorTagHelper
    -0.36
     mustered
    -0.36
    fita
    -0.36
    andidates
    -0.36
    POSITIVE LOGITS
     prevalence
    1.43
     incidence
    1.41
     Incidence
    1.23
     Prevalence
    1.22
    Incidence
    1.16
    Prevalence
    1.12
    incidence
    1.08
     incidencia
    1.03
     preval
    0.93
     morbidity
    0.84
    Activations Density 1.068%

    No Known Activations