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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15524
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    Explanations

    references to staff and personnel 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 @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NEXT
    -0.45
    cxt
    -0.43
     BoxFit
    -0.43
     ultimatum
    -0.42
    getPoint
    -0.41
     next
    -0.40
    xpress
    -0.40
     vortex
    -0.40
     HYPER
    -0.39
    next
    -0.39
    POSITIVE LOGITS
     Staff
    0.90
     staff
    0.90
    Staff
    0.87
     staffs
    0.81
     STAFF
    0.80
    STAFF
    0.76
     medewerkers
    0.72
     staffers
    0.70
    staff
    0.69
     employees
    0.68
    Activations Density 0.114%

    No Known Activations