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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9610
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    references to causes and modes of death, particularly in a medical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WSER
    -0.50
     himo
    -0.48
     tiguan
    -0.47
    ɲ
    -0.44
    ండి
    -0.44
     Untersch
    -0.43
     كومونز
    -0.43
     erbjud
    -0.43
    Hozzáférés
    -0.43
     navegador
    -0.43
    POSITIVE LOGITS
     death
    3.35
    death
    2.87
     dead
    2.75
     deaths
    2.74
     Death
    2.66
    Death
    2.58
     DEATH
    2.56
     died
    2.45
     dying
    2.44
    dead
    2.42
    Activations Density 0.857%

    No Known Activations