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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. 110274
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    Explanations

    attributes related to vehicle design and performance

    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
     crossover
    -0.55
    ashqai
    -0.52
     SUV
    -0.49
     Highlander
    -0.49
    httphttps
    -0.48
    Comfort
    -0.47
     Praga
    -0.47
     ModelExpression
    -0.46
     comfort
    -0.44
    SUV
    -0.44
    POSITIVE LOGITS
    GEBURTSDATUM
    0.63
    IsMutable
    0.56
     يتيمه
    0.55
    Controllo
    0.52
     Normdatei
    0.52
     jadx
    0.44
    protoimpl
    0.44
    sizeCache
    0.44
    Хьажоргаш
    0.42
    posedge
    0.42
    Activations Density 0.063%

    No Known Activations