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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 11-GEMMASCOPE-RES-16K
    6. 4823
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    Explanations

    phrases related to personnel and staffing in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clusal
    -0.38
     venganza
    -0.38
     atracción
    -0.38
     poderos
    -0.37
     castigo
    -0.36
    ună
    -0.36
     вяза
    -0.35
    anair
    -0.35
     predatory
    -0.35
    BUYER
    -0.35
    POSITIVE LOGITS
     staff
    1.22
     Staff
    1.13
     staffs
    1.04
    Staff
    1.03
     employees
    1.01
     staffers
    0.99
    staff
    0.99
     Employees
    0.96
     STAFF
    0.95
    STAFF
    0.91
    Activations Density 0.395%

    No Known Activations