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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 1472
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    Explanations

    references to cars or vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tiefen
    -0.97
    )");
    -0.94
     myſelf
    -0.91
     ſeveral
    -0.89
    Tikang
    -0.86
    ]").
    -0.86
     Radu
    -0.85
    )"),
    -0.85
    ]")]
    -0.85
    BibitemShut
    -0.83
    POSITIVE LOGITS
     car
    1.54
     Car
    1.46
    Car
    1.45
    car
    1.45
     cars
    1.44
     CAR
    1.37
     Cars
    1.36
    CAR
    1.32
    Cars
    1.27
    cars
    1.24
    Activations Density 0.088%

    No Known Activations