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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2421
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    Explanations

    roles and positions in professional contexts, particularly in education and leadership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Appearing before job titles

    np_acts-logits-general · gemini-2.0-flash

    senior job titles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
     gubern
    -0.62
     Offisielt
    -0.62
     mayors
    -0.60
     prefeito
    -0.58
     priesthood
    -0.57
     chairman
    -0.56
     governors
    -0.56
     CEOs
    -0.54
     archbishop
    -0.54
     CHAIRMAN
    -0.53
    POSITIVE LOGITS
     Senior
    1.16
    Senior
    1.13
     senior
    1.10
    senior
    1.02
     Associate
    0.97
     junior
    0.96
     associate
    0.94
    SENIOR
    0.94
     Assistant
    0.92
     SENIOR
    0.91
    Activations Density 0.171%

    No Known Activations