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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5089
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    Explanations

    mentions of championships and titles in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     defaultstate
    -0.46
    دانشنامهٔ
    -0.46
     eval
    -0.46
     GenerationType
    -0.45
    Népesség
    -0.43
    Carriera
    -0.42
    fjspx
    -0.42
     evalu
    -0.41
    eval
    -0.41
    Evaluation
    -0.41
    POSITIVE LOGITS
     title
    1.05
     titles
    1.01
     champion
    0.99
     crowned
    0.97
     championship
    0.95
     títulos
    0.94
     crown
    0.93
     título
    0.91
     champions
    0.90
     crowns
    0.88
    Activations Density 0.204%

    No Known Activations