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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2698
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    references to fame and career success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     angele
    -0.50
    oneofs
    -0.49
     paraf
    -0.48
     éduc
    -0.47
     religieuses
    -0.47
     Lewin
    -0.46
     pinta
    -0.46
     pus
    -0.46
    גי
    -0.45
     Beer
    -0.45
    POSITIVE LOGITS
     careers
    0.91
     career
    0.89
     kasarigan
    0.81
    ardom
    0.80
     carrière
    0.75
    Fame
    0.71
    career
    0.71
     carreira
    0.69
     fame
    0.68
    fame
    0.65
    Activations Density 0.293%

    No Known Activations