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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6213
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    Explanations

    references to vehicles and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +```
    -0.50
    openzeppelin
    -0.47
    antd
    -0.46
     BigNumber
    -0.46
    ScrollBar
    -0.46
     pezzo
    -0.45
    KommentareTeilen
    -0.45
     XCTest
    -0.45
    *~*~
    -0.45
     Zan
    -0.45
    POSITIVE LOGITS
    Vehicle
    0.94
     vehicle
    0.93
     Vehicle
    0.91
     Vehicles
    0.89
     vehicles
    0.87
     VEHICLE
    0.87
    Vehicles
    0.83
     VEH
    0.80
    vehicle
    0.77
    hicle
    0.75
    Activations Density 0.150%

    No Known Activations