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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. 15719
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    Explanations

    references to player injuries and their impact on team performance

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

    No Comments

    Negative Logits
     independently
    -0.38
    獨立
    -0.37
    Isolate
    -0.37
     isolate
    -0.36
    tagHelperRunner
    -0.36
    :✨
    -0.35
    GeoNames
    -0.35
     церкви
    -0.35
    šas
    -0.35
    MediaPlayer
    -0.34
    POSITIVE LOGITS
     roster
    1.20
     lineup
    0.97
     Roster
    0.90
    roster
    0.88
     personnel
    0.86
     composition
    0.80
     squad
    0.79
     depth
    0.78
     replacements
    0.78
    personnel
    0.77
    Activations Density 0.244%

    No Known Activations