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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. 7185
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    terms related to injuries and bone fractures

    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
     Cordero
    -0.59
    epam
    -0.59
     aught
    -0.57
    oquia
    -0.53
     AssemblyCulture
    -0.52
    laught
    -0.52
    íncia
    -0.50
    ياس
    -0.50
    ütfen
    -0.49
    cain
    -0.48
    POSITIVE LOGITS
     bones
    0.99
     bone
    0.98
     Bone
    0.93
    bone
    0.85
    Bone
    0.84
    骨
    0.83
     Bones
    0.81
    BONE
    0.80
    bones
    0.79
    Bones
    0.73
    Activations Density 0.367%

    No Known Activations