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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15001
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectoriales
    -0.59
     potenciales
    -0.48
    AnimationsModule
    -0.48
     cercanos
    -0.43
     esterna
    -0.43
     bénévol
    -0.43
     îna
    -0.41
     resolução
    -0.40
     aisladas
    -0.40
     flexibilidad
    -0.40
    POSITIVE LOGITS
    MENAFN
    0.66
    PyExc
    0.56
     products
    0.56
     toppers
    0.55
     sauces
    0.52
     supplying
    0.50
     liners
    0.50
     coatings
    0.49
     packaging
    0.49
     retail
    0.49
    Activations Density 0.464%

    No Known Activations