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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. 12241
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    Explanations

    references to outdoor recreational activities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    webElementXpaths
    -0.71
    Hentet
    -0.70
    ResumeLayout
    -0.68
     AspNetCore
    -0.61
    nocache
    -0.60
     nakalista
    -0.58
    posedge
    -0.58
     Normdatei
    -0.58
    原始内容存档于
    -0.57
    FirebaseAuth
    -0.56
    POSITIVE LOGITS
     sache
    0.46
     flats
    0.46
     drops
    0.44
    flats
    0.44
     roadway
    0.43
     skater
    0.43
     skaters
    0.43
     flat
    0.43
    byshev
    0.43
     roze
    0.41
    Activations Density 0.263%

    No Known Activations