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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. 109898
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    references to beaches and coastal locations

    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
     beach
    -1.45
    beach
    -1.23
     Beach
    -1.20
     BEACH
    -1.20
    Beach
    -1.16
     beaches
    -0.98
    ビーチ
    -0.85
     spiaggia
    -0.82
     Beaches
    -0.79
     пля
    -0.77
    POSITIVE LOGITS
    ArrowToggle
    0.42
    躇
    0.35
    JvmStatic
    0.35
     Polres
    0.34
     Independiente
    0.34
     stanovnika
    0.34
    ístico
    0.34
     compéti
    0.33
    case
    0.32
     rø
    0.31
    Activations Density 0.001%

    No Known Activations