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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. 92991
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    Explanations

    references to time periods and activities occurring during the early morning or late hours

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

    segments of the day

    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
     year
    -0.45
     вікісторінку
    -0.43
    ècie
    -0.42
     YEAR
    -0.42
     mwaka
    -0.42
    YEAR
    -0.41
    AlterField
    -0.40
    Año
    -0.40
    ニュアル
    -0.39
    同年
    -0.39
    POSITIVE LOGITS
     morning
    0.70
     afternoon
    0.69
    afternoon
    0.58
     evening
    0.57
     hours
    0.54
     Taktlose
    0.54
     mornings
    0.53
     Infórmanos
    0.53
     afternoons
    0.52
    morning
    0.50
    Activations Density 0.024%

    No Known Activations