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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14564
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    phrases related to training and preparation in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -1.15
     pinulongan
    -1.05
     correctes
    -0.98
    ंदीखरीदारी
    -0.97
    
    -0.93
    EndContext
    -0.88
     AppModule
    -0.85
    HomeAsUpEnabled
    -0.85
    RegistryLite
    -0.83
     Efq
    -0.80
    POSITIVE LOGITS
    entraînement
    0.71
     training
    0.70
     workouts
    0.67
     latihan
    0.60
    training
    0.59
     Training
    0.58
     трени
    0.56
    Training
    0.55
     trening
    0.54
     camp
    0.53
    Activations Density 0.557%

    No Known Activations