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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. 3440
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    Explanations

    references to specific sports teams and events

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

    toronto maple leafs ontario mississauga

    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
     Montana
    -0.35
     Shreveport
    -0.34
     Wichita
    -0.33
     الجز
    -0.32
    iermark
    -0.30
     Beaufort
    -0.30
     Schenk
    -0.30
     Lampung
    -0.29
    Montana
    -0.29
     aceite
    -0.29
    POSITIVE LOGITS
     Toronto
    1.18
    Toronto
    1.15
     toronto
    0.95
     Ontario
    0.92
    issauga
    0.91
     TORONTO
    0.90
    toronto
    0.87
    Ontario
    0.85
     Mississauga
    0.82
     يتيمه
    0.76
    Activations Density 0.049%

    No Known Activations