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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 81330
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    INDEX
    Explanations

    references to notable individuals and their achievements

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

    notable people

    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron detects headings or phrases that introduce lists of notable people (e.g., "Notable people"/"Notable persons" and similar list-introduction text).

    oai_token-act-pair · gpt-5-mini
    Triggered by @vetterc0
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    tanleria
    -0.41
     zákaz
    -0.41
    magitan
    -0.40
     atlik
    -0.39
     Möglich
    -0.39
    PerformLayout
    -0.39
     terapé
    -0.38
     때문
    -0.38
     tradisi
    -0.37
     Eigentü
    -0.37
    POSITIVE LOGITS
     celebrities
    0.59
    ModelSerializer
    0.59
    nalités
    0.58
    InjectAttribute
    0.55
     أعلام
    0.53
     eminence
    0.52
     personalities
    0.50
     celebrity
    0.49
     celebs
    0.49
     eminent
    0.49
    Activations Density 0.341%

    No Known Activations