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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14366
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    terms related 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 @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     malheur
    -0.30
     poème
    -0.28
     Cruces
    -0.28
    好处
    -0.27
     progrès
    -0.27
     cedo
    -0.27
     nehé
    -0.27
     sebenar
    -0.26
     delà
    -0.26
    niejs
    -0.26
    POSITIVE LOGITS
     wrists
    1.79
     shoulders
    1.73
     legs
    1.73
     fingers
    1.71
     knees
    1.70
     eyes
    1.70
     ankles
    1.70
     feet
    1.68
     ears
    1.63
     lips
    1.60
    Activations Density 1.174%

    No Known Activations