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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. 98750
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    Explanations

    references to heavy metals, particularly lead, cadmium, mercury, and their environmental or health impacts

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

    lead, Pb, plomo, plomb, 铅

    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
    batore
    -0.86
     Wiktionnaire
    -0.75
    :✨
    -0.74
    endphp
    -0.69
    SourceChecksum
    -0.68
     noDo
    -0.68
     simplifié
    -0.67
    mybatisplus
    -0.64
    transQ
    -0.63
     فريبيس
    -0.63
    POSITIVE LOGITS
     plomo
    0.67
    Lead
    0.56
     lead
    0.56
    Pb
    0.54
     Pb
    0.54
     plomb
    0.51
     Lead
    0.51
    lead
    0.46
    铅
    0.45
    Cadmium
    0.44
    Activations Density 0.034%

    No Known Activations