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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 7100
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    Explanations

    references to vehicles involved in criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     leggen
    -0.50
     Handlung
    -0.49
    Становништво
    -0.46
     humanidade
    -0.45
    ulitis
    -0.44
     actuaciones
    -0.43
    jercicios
    -0.43
     Öffnungszeiten
    -0.43
     okolí
    -0.42
     puertos
    -0.42
    POSITIVE LOGITS
     vehicles
    1.01
     vehicle
    0.95
    vehicles
    0.87
     Vehicles
    0.78
     cars
    0.78
    vehicle
    0.77
     vehic
    0.76
    Vehicles
    0.72
     trucks
    0.71
     jeep
    0.69
    Activations Density 0.345%

    No Known Activations