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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. 109397
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    Explanations

    mentions of sewage or sewer-related topics

    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
     sewer
    -1.62
     sewers
    -1.39
     Sewer
    -1.35
     sewerage
    -1.12
     sewage
    -1.05
     Sewage
    -0.92
     wastewater
    -0.73
     Wastewater
    -0.71
    Sew
    -0.68
     канали
    -0.68
    POSITIVE LOGITS
     snippetHide
    0.60
    Erstellt
    0.45
    ValueStyle
    0.44
    AndEndTag
    0.44
     BorderRadius
    0.43
    enumi
    0.42
     MessageBoxIcon
    0.42
     INTERESAR
    0.41
    ModelAdmin
    0.40
     tartalomajánló
    0.40
    Activations Density 0.002%

    No Known Activations