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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10996
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    references to regulatory and oversight agencies

    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
    openzeppelin
    -0.57
     تضيفلها
    -0.54
    initializeApp
    -0.47
     PyLong
    -0.47
    VersionUID
    -0.46
    esModule
    -0.46
     PyObject
    -0.43
    ToBounds
    -0.42
    Referencie
    -0.42
    MemoryWarning
    -0.41
    POSITIVE LOGITS
     agencies
    1.64
     institutions
    1.59
     institution
    1.48
     agency
    1.43
     organizations
    1.31
     Institutions
    1.29
     organisations
    1.27
    agencies
    1.27
     Agencies
    1.27
    institutions
    1.27
    Activations Density 0.612%

    No Known Activations