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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7457
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    Explanations

    references to vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cser
    -0.60
    vited
    -0.52
    odils
    -0.50
     nephro
    -0.49
     fausse
    -0.49
     desorption
    -0.48
     bailando
    -0.48
    staw
    -0.47
    ostante
    -0.47
     kysy
    -0.47
    POSITIVE LOGITS
     vehicle
    3.59
     Vehicle
    3.28
    vehicle
    3.23
    Vehicle
    3.03
     VEHICLE
    2.99
     vehicles
    2.85
     Vehicles
    2.69
    vehicles
    2.54
    VEHICLE
    2.35
    Vehicles
    2.28
    Activations Density 0.085%

    No Known Activations