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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. 12500
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    INDEX
    Explanations

    references to medical conditions and their outcomes

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     ujednoznacz
    -0.68
    oredCriteria
    -0.60
    WriteBarrier
    -0.55
     незавершена
    -0.54
    rativa
    -0.49
    rinfo
    -0.47
     IBOutlet
    -0.46
    lamydia
    -0.45
    ensory
    -0.44
    nestjs
    -0.44
    POSITIVE LOGITS
     death
    1.20
     deaths
    1.02
     mortality
    0.98
    death
    0.90
    Death
    0.88
     Death
    0.88
     survival
    0.87
     muerte
    0.83
     died
    0.83
     DEATH
    0.81
    Activations Density 0.627%

    No Known Activations