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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. 5157
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    Explanations

    terms related to football players and their performance statistics

    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
    eiro
    -0.40
     بسی
    -0.38
     intptr
    -0.37
     Hoops
    -0.37
    ggable
    -0.37
     tournoi
    -0.34
    aternion
    -0.33
     CGRectMake
    -0.33
     résine
    -0.33
     génie
    -0.32
    POSITIVE LOGITS
     rushing
    1.03
     running
    0.95
     rush
    0.87
     Running
    0.86
     RUNNING
    0.85
    Running
    0.85
     runners
    0.84
     rushed
    0.83
     rushes
    0.81
    running
    0.79
    Activations Density 0.173%

    No Known Activations