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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15999
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    references to training and training-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
     nakalista
    -0.54
     propOrder
    -0.40
     veroor
    -0.40
     EconPapers
    -0.38
     AppComponent
    -0.36
    ModelAttribute
    -0.36
    RRect
    -0.35
     Meeres
    -0.35
     gevallen
    -0.35
     meg
    -0.34
    POSITIVE LOGITS
     training
    4.25
     Training
    3.91
    Training
    3.84
    training
    3.72
     TRAINING
    3.61
    TRAINING
    3.30
     trainings
    3.08
     Trainings
    2.88
     treinamento
    2.72
    训练
    2.61
    Activations Density 0.099%

    No Known Activations