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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 9454
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    specific food items and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Seeder
    -0.70
    MLLoader
    -0.66
    dafx
    -0.60
    fxml
    -0.59
    balleur
    -0.56
    cline
    -0.55
    MigrationBuilder
    -0.54
    Personendaten
    -0.54
    อม
    -0.53
    RepeatedField
    -0.52
    POSITIVE LOGITS
    Географи
    0.54
     recev
    0.51
    ReferenceEquals
    0.50
     ملف
    0.49
     архивлан
    0.48
     bolsillos
    0.47
     imageNamed
    0.46
    TabStop
    0.46
     indépend
    0.45
     nemlig
    0.45
    Activations Density 0.498%

    No Known Activations