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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 86904
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    INDEX
    Explanations

    phrases indicating routine daily activities and lifestyle choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    activity and leisure

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     विश्वसनीयता
    -0.36
    ญิง
    -0.34
    VYMaps
    -0.33
    遽
    -0.33
    TagNumber
    -0.32
     Humphries
    -0.31
    rinhos
    -0.31
    Lui
    -0.31
     ő
    -0.30
     Masih
    -0.30
    POSITIVE LOGITS
     leisure
    0.94
    leisure
    0.81
     recreation
    0.72
    Leisure
    0.72
    play
    0.72
     worship
    0.71
     sleep
    0.71
     sleeping
    0.71
     eat
    0.71
     Leisure
    0.71
    Activations Density 0.029%

    No Known Activations