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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7385
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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 @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nier
    -0.54
     vortex
    -0.54
     Vortex
    -0.53
    goin
    -0.50
     roundabout
    -0.49
    gabriel
    -0.49
     OMIT
    -0.49
     Horton
    -0.48
     hyperlink
    -0.48
    beten
    -0.47
    POSITIVE LOGITS
     Staff
    1.27
    Staff
    1.26
     staff
    1.25
     STAFF
    1.08
    staff
    1.02
     staffs
    1.02
    STAFF
    0.98
     personeel
    0.81
     staffers
    0.79
     medewerkers
    0.79
    Activations Density 0.034%

    No Known Activations