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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 442
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    references to footballers and their positions in teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WithIOException
    -0.50
    ագրություններ
    -0.50
    RegressionTest
    -0.47
     utafitiHapana
    -0.44
     Menschen
    -0.41
     للمعارف
    -0.41
     dignité
    -0.40
    Lähteet
    -0.39
     república
    -0.39
    出版年
    -0.38
    POSITIVE LOGITS
     midfielder
    1.10
     midfield
    0.98
     winger
    0.97
     striker
    0.92
     forward
    0.92
     goalkeeper
    0.91
     quarterback
    0.91
     forwards
    0.85
     center
    0.85
     wing
    0.85
    Activations Density 0.203%

    No Known Activations