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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. 19289
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    INDEX
    Explanations

    references to heavy metal accumulation and pollution in plants

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

    heavy metals, arsenic, cadmium, lead

    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
     energética
    -0.40
     فريبيس
    -0.36
     douane
    -0.34
     aanges
    -0.34
     hierzu
    -0.32
    ziplin
    -0.32
     schützen
    -0.31
    UnsafeEnabled
    -0.31
    quiel
    -0.31
    jercicio
    -0.30
    POSITIVE LOGITS
     cadmium
    0.73
     Lead
    0.73
     Cadmium
    0.72
     arsenic
    0.72
     Heavy
    0.69
    Cadmium
    0.69
    Heavy
    0.68
    Lead
    0.68
    Arsenic
    0.68
     lead
    0.68
    Activations Density 0.156%

    No Known Activations