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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. 8498
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    Explanations

    medical terminology related to injuries and their causes

    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
     betweenstory
    -0.79
    fromnode
    -0.57
    tonode
    -0.56
     Morm
    -0.55
    AndroidJUnit
    -0.49
     disappearing
    -0.49
    ereich
    -0.47
     ناد
    -0.46
     continúas
    -0.46
     bParam
    -0.46
    POSITIVE LOGITS
     cracks
    1.22
     crack
    1.13
     cracked
    1.07
     Cracks
    0.99
     fractures
    0.95
     scratches
    0.94
    cracked
    0.94
    crack
    0.93
     fracture
    0.92
     CRACK
    0.90
    Activations Density 0.345%

    No Known Activations