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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. 11859
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    Explanations

    references to automobiles or 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
    enumii
    -0.55
    oredCriteria
    -0.54
    Hauptartikel
    -0.54
     sat
    -0.54
     "..\..\..\
    -0.52
     "..\..\
    -0.52
    :✨
    -0.50
     recommandons
    -0.50
     convi
    -0.49
     ø
    -0.49
    POSITIVE LOGITS
     car
    1.28
     vehicle
    1.27
    car
    1.05
    vehicle
    1.02
     Vehicle
    0.99
     VEHICLE
    0.92
    Vehicle
    0.91
    车
    0.86
     voiture
    0.83
    VEHICLE
    0.76
    Activations Density 0.098%

    No Known Activations