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

    terms referencing employers and employment-related issues

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     
    -0.71
     staff
    -0.64
    en
    -0.58
     ge
    -0.56
    MathML
    -0.56
     li
    -0.56
     I
    -0.56
    жек
    -0.56
    an
    -0.55
    稲田
    -0.55
    POSITIVE LOGITS
     employers
    2.77
     employer
    2.66
     Employers
    2.65
     Employer
    2.57
    Employers
    2.45
    Employer
    2.33
    employer
    2.19
     Arbeitgeber
    2.01
     EMPLOY
    1.72
     workplaces
    1.18
    Activations Density 0.102%

    No Known Activations