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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 13696
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    INDEX
    Explanations

    quantitative data related to medical prevalence and treatment outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "rate" or "rates"

    np_acts-logits-general · gemini-2.0-flash

    response rate incidence prevalence

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BagConstraints
    -0.43
     potenti
    -0.32
     يتيمه
    -0.31
    rangian
    -0.29
    MeV
    -0.29
     pads
    -0.28
     emerg
    -0.28
    irq
    -0.28
    kilo
    -0.28
     pad
    -0.27
    POSITIVE LOGITS
     rate
    1.43
     rates
    1.41
     taux
    1.27
     Rate
    1.27
     Rates
    1.25
    Rate
    1.16
     RATE
    1.15
    Rates
    1.13
     RATES
    1.12
    rates
    1.10
    Activations Density 1.207%

    No Known Activations