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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 12644
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    Explanations

    the repeated use of the word "got."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    exels
    -0.74
     hasard
    -0.71
    ThroughAttribute
    -0.67
     rând
    -0.65
     itſelf
    -0.63
    нансо
    -0.63
     damska
    -0.61
     unaware
    -0.61
     vandens
    -0.61
    gestone
    -0.60
    POSITIVE LOGITS
     got
    1.42
    got
    1.17
     Got
    1.17
     gotta
    1.14
    Got
    1.10
     Gotta
    1.10
     GOT
    1.10
    Gotta
    0.94
    gotta
    0.85
    GOT
    0.80
    Activations Density 0.062%

    No Known Activations