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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 1205
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    Explanations

    references to injury, medical treatment, and violence-related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.74
    ]")]
    -0.74
     snippetHide
    -0.72
    +#+#
    -0.72
    原始内容存档于
    -0.65
    edicated
    -0.61
     ―――――
    -0.60
    lifier
    -0.60
    ValueStyle
    -0.60
    noons
    -0.59
    POSITIVE LOGITS
     injuries
    0.92
     injured
    0.86
     injury
    0.83
     wounding
    0.81
     damage
    0.80
     wounded
    0.77
     injuring
    0.77
     injure
    0.75
     traum
    0.74
    Injuries
    0.73
    Activations Density 0.534%

    No Known Activations