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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. 9125
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    Explanations

    concepts related to the Japanese philosophy of continuous improvement in business practices

    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
     laundry
    -1.44
     washing
    -1.28
     Laundry
    -1.27
     wash
    -1.19
    laundry
    -1.16
     washed
    -1.14
     laund
    -1.14
    Laundry
    -1.13
     washes
    -1.12
    Wash
    -1.11
    POSITIVE LOGITS
     gordo
    0.45
    cember
    0.43
    håll
    0.43
     Ka
    0.42
     Gage
    0.42
     ka
    0.41
    ürt
    0.40
    titudine
    0.40
    engibre
    0.39
     Chart
    0.39
    Activations Density 0.312%

    No Known Activations