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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. 110721
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    references to specific quarterbacks and their performances in football

    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
     defaultstate
    -0.66
    TypedDataSet
    -0.55
    webElementXpaths
    -0.55
    MessageTagHelper
    -0.52
     InputDecoration
    -0.44
     utafitiHapana
    -0.43
     kasarigan
    -0.42
    +#+#
    -0.42
     상세
    -0.41
    ⓧ
    -0.41
    POSITIVE LOGITS
     quarterback
    0.43
     balanceOf
    0.41
     compen
    0.39
    omores
    0.39
     quarterbacks
    0.38
     Paloma
    0.37
     Corde
    0.36
     pelic
    0.36
    ophones
    0.36
     Wex
    0.35
    Activations Density 0.074%

    No Known Activations