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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. 14673
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    Explanations

    the occurrences of the word "People" and variations of it in different contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     initComponents
    -0.59
     BoxFit
    -0.54
    BagConstraints
    -0.43
    iclo
    -0.42
    Географиясе
    -0.42
    BeginInit
    -0.41
     Sinks
    -0.40
     cucchia
    -0.40
     BorderRadius
    -0.40
    {~
    -0.40
    POSITIVE LOGITS
    People
    0.90
     People
    0.89
    PEOPLE
    0.86
     PEOPLE
    0.79
    people
    0.75
     people
    0.66
     Peoples
    0.60
     Pessoa
    0.54
    oples
    0.52
    Orang
    0.52
    Activations Density 0.101%

    No Known Activations