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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 12187
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    details related to incidents of violence, fatalities, and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.97
    +#+#
    -0.94
     autorytatywna
    -0.90
     виправивши
    -0.81
     resourceCulture
    -0.80
     linkovi
    -0.74
     Wikimedijinoj
    -0.74
    protoimpl
    -0.73
    PyExc
    -0.72
    脚注の使い方
    -0.70
    POSITIVE LOGITS
     wounding
    0.63
     injuries
    0.59
     thankfully
    0.58
     luckily
    0.56
     survives
    0.55
     wounds
    0.54
     fortunately
    0.54
     recuper
    0.54
     recovered
    0.54
     miraculously
    0.53
    Activations Density 0.114%

    No Known Activations