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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6738
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    references to clothing items, particularly shirts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '\\;'
    -0.52
    FXML
    -0.43
     httpClient
    -0.41
     getColumn
    -0.40
    存于互联网档案馆
    -0.40
    invokeLater
    -0.40
     javafx
    -0.40
     DBNull
    -0.40
    InfoWindow
    -0.40
    Източници
    -0.39
    POSITIVE LOGITS
     gallon
    0.84
     gallons
    0.73
     prototype
    0.66
     Gallon
    0.65
     fixture
    0.65
    gallon
    0.64
     Prototype
    0.62
     Benchmark
    0.61
     benchmark
    0.61
     Fixture
    0.60
    Activations Density 0.097%

    No Known Activations