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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 9792
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    INDEX
    Explanations

    specific roles and job titles in professional contexts

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

    roles and training

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.71
    退休
    -0.65
    Retired
    -0.63
     retired
    -0.60
     retiring
    -0.59
    retired
    -0.57
     présidenti
    -0.55
     retraite
    -0.55
     directeur
    -0.54
     veteran
    -0.54
    POSITIVE LOGITS
     trainee
    0.50
     Student
    0.48
     student
    0.48
     assistant
    0.48
     research
    0.48
     assisting
    0.48
     intern
    0.47
     researching
    0.45
     internship
    0.45
    助理
    0.45
    Activations Density 0.038%

    No Known Activations