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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55022
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    INDEX
    Explanations

    the term "professional" and its variations, indicating a focus on expertise and occupation

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    professional followed by a career or role

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    GraphicsUnit
    -0.53
     ddelweddau
    -0.50
    haikusbot
    -0.50
     betweenstory
    -0.49
    PhysRevLett
    -0.47
     ISNI
    -0.45
     kasarigan
    -0.45
    DOCTYPE
    -0.44
    exitRule
    -0.43
     leçon
    -0.42
    POSITIVE LOGITS
     professional
    1.18
     Professional
    1.07
    Professional
    1.06
    professional
    1.05
     PROFESSIONAL
    1.05
    专业
    1.00
    PROFESSIONAL
    0.96
     profesional
    0.95
    專業
    0.93
     专业
    0.92
    Activations Density 0.003%

    No Known Activations