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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. 107960
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    Explanations

    references to veins or venous structures

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     vein
    -2.13
     veins
    -1.66
     Vein
    -1.54
    vein
    -1.34
     venous
    -0.93
     vain
    -0.64
     vena
    -0.63
     ve
    -0.63
     artery
    -0.56
     Ve
    -0.55
    POSITIVE LOGITS
     للاسماء
    0.87
     resourceCulture
    0.78
    ValueStyle
    0.72
     صوتيه
    0.71
     ProtoMessage
    0.69
    TagMode
    0.68
     الرياضيه
    0.67
    :✨
    0.67
    RenderAtEndOf
    0.65
    الحياه
    0.63
    Activations Density 0.004%

    No Known Activations