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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6662
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    references to injuries and physical harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nôtre
    -0.33
     malheur
    -0.33
     poème
    -0.31
     nehé
    -0.30
     desierto
    -0.30
     sebenar
    -0.29
     muelle
    -0.29
    AccessorTable
    -0.28
    年度
    -0.28
    Upgradeable
    -0.28
    POSITIVE LOGITS
     wrists
    1.73
     shoulders
    1.68
     legs
    1.67
     ankles
    1.67
     feet
    1.66
     knees
    1.65
     eyes
    1.61
     fingers
    1.56
     ears
    1.56
     eyelids
    1.51
    Activations Density 1.397%

    No Known Activations