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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4582
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    Explanations

    references to employees and employment-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cenar
    -0.50
     Viana
    -0.48
     Vázquez
    -0.48
     Мексичка
    -0.48
    各样的
    -0.46
     caza
    -0.46
     acabados
    -0.45
    quién
    -0.45
    Cuándo
    -0.44
     beira
    -0.44
    POSITIVE LOGITS
     Employee
    1.15
    Employee
    1.12
    employee
    1.06
     employee
    1.04
     Employees
    0.96
    employees
    0.95
    Employees
    0.95
     employe
    0.94
     employees
    0.92
    EmployeeId
    0.91
    Activations Density 0.115%

    No Known Activations