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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 350
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    Explanations

    references to lunch and related meal times

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

    "lunch"

    np_acts-logits-general · gemini-2.0-flash

    lunch or snack time

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     abstrato
    -0.60
     femininos
    -0.56
    >>;
    -0.50
     digitais
    -0.50
     inoxydable
    -0.50
     organizacji
    -0.49
     compelling
    -0.49
     églises
    -0.49
     abbildung
    -0.48
     sereia
    -0.47
    POSITIVE LOGITS
     lunch
    1.41
    Lunch
    1.36
     Lunch
    1.34
    lunch
    1.33
     LUNCH
    1.19
     snack
    1.04
     lunches
    1.02
     snacks
    0.98
     Snack
    0.97
    Snack
    0.94
    Activations Density 0.102%

    No Known Activations