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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. 2356
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    Explanations

    mentions of various types of 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
    ualitas
    -0.56
    ")));
    -0.52
     '':
    -0.47
    "}"
    -0.47
     def
    -0.46
    Př
    -0.46
     fra
    -0.46
    ')));
    -0.46
    qrst
    -0.46
     thác
    -0.46
    POSITIVE LOGITS
     Vehicles
    1.70
     vehicles
    1.66
    Vehicles
    1.58
    vehicles
    1.51
     Fahrzeuge
    1.23
     véhicules
    1.23
     VEH
    1.23
     vehículos
    1.23
     veículos
    1.22
     automobiles
    1.21
    Activations Density 0.103%

    No Known Activations