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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. 109948
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    words related to physical impacts and injuries

    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
    awtextra
    -0.52
    mphs
    -0.50
    inSlope
    -0.50
    aarrggbb
    -0.48
    tanleria
    -0.46
     CGRectMake
    -0.45
    oa̍t
    -0.45
    SharedCtor
    -0.45
     tiguan
    -0.44
    chesse
    -0.44
    POSITIVE LOGITS
    Ecotoxicity
    0.39
     kasarigan
    0.35
    Distribuzione
    0.35
     Wikiquote
    0.33
     donc
    0.33
     magasiner
    0.32
    artifactId
    0.32
    Външни
    0.32
    Sklici
    0.32
     present
    0.32
    Activations Density 0.004%

    No Known Activations