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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 9667
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    words related to vehicles and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dreyfus
    -0.61
     çiz
    -0.55
     Sall
    -0.54
     argint
    -0.52
     malade
    -0.52
     Aung
    -0.50
     Reiner
    -0.50
    Camp
    -0.48
     Sando
    -0.48
     emplois
    -0.48
    POSITIVE LOGITS
    vehicle
    1.05
    Vehicle
    1.02
    vehicles
    0.90
     Vehicle
    0.89
     ویکی‌پدیای
    0.88
     VEHICLE
    0.86
     vehicles
    0.84
     vehicle
    0.82
    VEHICLE
    0.82
     VEH
    0.82
    Activations Density 0.049%

    No Known Activations