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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2679
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    INDEX
    Explanations

    references to employees and their employment status

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

    "employee" or "employment"

    np_acts-logits-general · gemini-2.0-flash

    employee, employees, employment

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ături
    -0.48
    kregen
    -0.44
    Cuándo
    -0.44
     cenar
    -0.44
     ponta
    -0.43
    quién
    -0.43
     borboleta
    -0.43
     Infórmanos
    -0.43
     Ríos
    -0.41
    Sinon
    -0.40
    POSITIVE LOGITS
     employee
    1.55
     Employee
    1.55
     employees
    1.52
    employee
    1.50
    Employee
    1.49
    employees
    1.47
     Employees
    1.45
    Employees
    1.44
     EMPLOYEE
    1.23
    EMPLOYEE
    1.22
    Activations Density 0.096%

    No Known Activations