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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 94317
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    Explanations

    specific times and events related to meals or daily activities

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

    noon, day, lunch

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Night
    -0.82
     night
    -0.81
     NIGHT
    -0.77
     nightly
    -0.76
    Night
    -0.72
     nights
    -0.68
    Tonight
    -0.68
     natten
    -0.68
     nocturnal
    -0.66
     Tonight
    -0.65
    POSITIVE LOGITS
     lunch
    0.74
    Lunch
    0.73
     midday
    0.70
     lunchtime
    0.69
     sunny
    0.68
     Lunch
    0.65
    lunch
    0.62
     noon
    0.61
    noon
    0.60
     luncheon
    0.60
    Activations Density 0.063%

    No Known Activations