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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. 12060
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    Explanations

    terms related to sports, specifically football and soccer

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.52
    terase
    -0.50
    rrggbb
    -0.49
    putra
    -0.48
    CYAN
    -0.47
     Zacks
    -0.46
    ętr
    -0.46
    Sine
    -0.45
     Sykes
    -0.45
    olusi
    -0.45
    POSITIVE LOGITS
     football
    1.07
     players
    1.02
     soccer
    0.98
     Football
    0.96
    football
    0.93
     player
    0.93
     league
    0.92
    Football
    0.92
     footballers
    0.92
     basketball
    0.89
    Activations Density 0.673%

    No Known Activations