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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5426
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    references to entrepreneurs and their stories of success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     שוליים
    -0.60
     CreateTagHelper
    -0.57
    InjectAttribute
    -0.56
     الحره
    -0.54
    UnsafeEnabled
    -0.53
    rungsseite
    -0.52
     '\\;'
    -0.50
    AndEndTag
    -0.49
     iconLine
    -0.47
    сылкі
    -0.46
    POSITIVE LOGITS
     Bajaj
    0.66
     ₹
    0.65
     Maruti
    0.60
     Rs
    0.59
     lakhs
    0.59
     Kolkata
    0.59
    ₹
    0.58
     Bangalore
    0.57
     Chandigarh
    0.57
     wastage
    0.57
    Activations Density 0.444%

    No Known Activations