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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 3-GEMMASCOPE-RES-16K
    6. 9016
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    Explanations

    references to trucks and trucking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theim
    -0.83
     Knot
    -0.81
     }^{(
    -0.78
    cault
    -0.74
    WebVitals
    -0.72
    letal
    -0.71
    KeySpec
    -0.71
    <%=
    -0.70
    ]")]
    -0.70
    NewGuid
    -0.69
    POSITIVE LOGITS
     truck
    2.94
     trucks
    2.92
     Truck
    2.73
     TRUCK
    2.62
    Truck
    2.59
     Trucks
    2.53
    truck
    2.49
    trucks
    2.31
     trucking
    1.76
     camion
    1.71
    Activations Density 0.034%

    No Known Activations