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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12385
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    Explanations

    references to employee feedback mechanisms and accountability in the workplace

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     oprot
    -0.46
     لينك
    -0.45
    UpInside
    -0.45
    WebMethod
    -0.43
    posables
    -0.43
     estekak
    -0.42
     istore
    -0.42
     сбор
    -0.39
    olv
    -0.39
     protecting
    -0.37
    POSITIVE LOGITS
     feedback
    0.75
     evaluation
    0.70
     evaluations
    0.68
     Feedback
    0.68
    Feedback
    0.67
     évaluations
    0.66
     FEEDBACK
    0.64
     criticisms
    0.63
     evaluación
    0.63
     evalu
    0.63
    Activations Density 0.390%

    No Known Activations