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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3492
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    Explanations

    titles and roles associated with leadership positions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    copg
    -0.56
    waitKey
    -0.50
    Assistant
    -0.50
    RectangleBorder
    -0.49
     nanny
    -0.49
     assistant
    -0.49
     Assistants
    -0.49
    EventListener
    -0.49
     hush
    -0.48
    makeText
    -0.48
    POSITIVE LOGITS
     CEO
    1.53
    CEO
    1.34
     ceo
    1.13
     CEOs
    0.99
     executive
    0.96
     Executive
    0.88
     Vorstand
    0.87
    executive
    0.83
    Executive
    0.81
    ceo
    0.80
    Activations Density 0.171%

    No Known Activations