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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 15300
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    Explanations

    references to trucks and related vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bere
    -0.89
    WebVitals
    -0.86
    letal
    -0.85
    cault
    -0.83
    Bere
    -0.83
    <%=
    -0.82
     cref
    -0.79
    ="{
    -0.76
     InputDecoration
    -0.76
    theim
    -0.75
    POSITIVE LOGITS
     trucks
    1.96
     truck
    1.85
     TRUCK
    1.75
     Truck
    1.70
     Trucks
    1.69
    trucks
    1.56
    Truck
    1.55
    truck
    1.50
     trucking
    1.21
     Trucking
    1.11
    Activations Density 0.062%

    No Known Activations