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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2172
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielle
    -0.69
     isolado
    -0.67
     épaules
    -0.67
     polaire
    -0.66
     arşivlendi
    -0.62
     econômica
    -0.62
     exemplos
    -0.61
     ainfi
    -0.61
     direta
    -0.60
    éhez
    -0.60
    POSITIVE LOGITS
     learning
    2.69
     Learning
    2.66
    Learning
    2.49
    learning
    2.41
     LEARNING
    2.24
    LEARNING
    1.96
     aprendizaje
    1.50
     aprendizagem
    1.38
    学习
    1.34
     learners
    1.26
    Activations Density 0.050%

    No Known Activations