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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 6189
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    Explanations

    references to crimes and criminal activity

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

    crimes

    np_acts-logits-general · gemini-2.5-flash-lite
    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
    Not in Any Lists

    No Comments

    Negative Logits
    laar
    -0.56
    manni
    -0.55
     Zephyr
    -0.55
     supervisors
    -0.53
    ESTRO
    -0.52
    ultier
    -0.52
    Quién
    -0.51
    centr
    -0.51
    havan
    -0.50
    pelier
    -0.50
    POSITIVE LOGITS
     crimes
    1.80
     Crimes
    1.63
    crimes
    1.49
     crime
    1.26
     Crime
    1.02
    crime
    1.01
     crimen
    1.00
    Crime
    0.99
     CRIME
    0.98
     Verbrechen
    0.94
    Activations Density 0.014%

    No Known Activations