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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. 109880
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    references to track and field sports

    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
     track
    -0.65
     Track
    -0.62
    Track
    -0.57
    track
    -0.53
     tracks
    -0.50
     TRACK
    -0.46
     trace
    -0.45
     Tracks
    -0.45
    Espèce
    -0.44
    Tracks
    -0.39
    POSITIVE LOGITS
    دانشنامهٔ
    0.68
    MemoryWarning
    0.67
    SourceChecksum
    0.63
    AnchorStyles
    0.59
    YourGuide
    0.57
    AndEndTag
    0.56
     ujednoznacz
    0.55
     Signalez
    0.54
     surla
    0.54
     autorytatywna
    0.53
    Activations Density 0.002%

    No Known Activations