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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2762
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    Explanations

    references to cars and vehicles

    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-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    ног
    -0.54
     Réponses
    -0.48
     conduc
    -0.48
    iramente
    -0.47
    ők
    -0.47
    DropTable
    -0.47
    Étienne
    -0.45
    Jum
    -0.44
    Etienne
    -0.44
     πρέπει
    -0.43
    POSITIVE LOGITS
     cars
    1.18
     bags
    0.93
    ⓧ
    0.90
     boats
    0.89
     dogs
    0.88
    Cars
    0.88
     Bags
    0.84
     bikes
    0.83
     Cars
    0.83
     suitcases
    0.80
    Activations Density 0.160%

    No Known Activations