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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5205
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    Explanations

    references to vehicles, particularly cars

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Blume
    -0.52
    Географиясе
    -0.41
    xdf
    -0.41
     say
    -0.38
    -------
    -0.37
     ^=
    -0.36
    ]
    -0.36
    ună
    -0.36
     Xuân
    -0.35
     Tuesday
    -0.35
    POSITIVE LOGITS
    Car
    0.85
     Car
    0.80
    IContainer
    0.77
    Vehicle
    0.75
     Vehicles
    0.72
    ocardio
    0.72
    Vehicles
    0.70
    VEHICLE
    0.69
    CAR
    0.68
     Cars
    0.67
    Activations Density 0.157%

    No Known Activations