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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 108324
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    references to cars and vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     car
    -2.16
     cars
    -1.53
    car
    -1.48
     Car
    -1.41
     Cars
    -1.37
    Car
    -1.29
    cars
    -1.29
    Cars
    -1.27
     CARS
    -1.16
     CAR
    -1.05
    POSITIVE LOGITS
     interesado
    0.37
    HandlerContext
    0.36
     desarroll
    0.36
     izdel
    0.35
    setObjectName
    0.31
     sambung
    0.31
     associated
    0.31
     celebrado
    0.30
     instituição
    0.30
     cejas
    0.30
    Activations Density 0.008%

    No Known Activations