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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 2080
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    Explanations

    references to vehicles and automotive terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_11/width_16k/average_l0_80
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Danes
    -0.72
    Klar
    -0.71
     Kase
    -0.70
     femininos
    -0.68
    STARS
    -0.68
     fausse
    -0.67
     Lilian
    -0.67
     médicas
    -0.66
    doPost
    -0.65
    EDEFAULT
    -0.65
    POSITIVE LOGITS
     vehicles
    1.12
     Vehicle
    1.11
    vehicles
    1.09
     VEHICLE
    1.08
     vehic
    1.05
    Vehicle
    1.04
     Vehicles
    1.04
     vehicle
    1.02
     VEH
    0.97
    VEHICLE
    0.96
    Activations Density 0.060%

    No Known Activations