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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55004
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    Explanations

    references to data manipulation and analysis in programming contexts, specifically related to dataframes in Python

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    DataFrame variable usage

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
     <<<<<<<<<<<<<<
    -0.57
    expandindo
    -0.56
    dubbo
    -0.54
    archiviato
    -0.48
    ьаж
    -0.47
    Personensuche
    -0.47
     pinulongan
    -0.44
     onAnimation
    -0.44
    Tikang
    -0.44
    httphttps
    -0.44
    POSITIVE LOGITS
     df
    1.16
     DataFrame
    0.83
    df
    0.79
     dataframe
    0.76
     DF
    0.74
    DataFrame
    0.71
    Df
    0.65
    dataframe
    0.64
    DF
    0.63
     Df
    0.54
    Activations Density 0.006%

    No Known Activations