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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. 5530
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    Explanations

    mentions of specific animal names in the context of sports

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

    big cats and wild animals

    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
     InputDecoration
    -0.42
    addPreferredGap
    -0.42
    PYX
    -0.40
    errHandler
    -0.37
    GOTREF
    -0.37
    URLException
    -0.35
     Sorten
    -0.35
     diatur
    -0.34
    rungsseite
    -0.34
     يتيمه
    -0.33
    POSITIVE LOGITS
     Panther
    1.01
    Panther
    0.88
     Panthers
    0.85
     Puma
    0.84
     panther
    0.82
    Puma
    0.77
     puma
    0.71
     Jaguar
    0.70
     jaguar
    0.67
     feline
    0.63
    Activations Density 0.004%

    No Known Activations