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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8427
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    Explanations

    details related to lethal injuries and causes of death

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InputTagHelper
    -0.52
    Попис
    -0.50
    Personendaten
    -0.50
     неприят
    -0.50
     оригіналу
    -0.49
    痛い
    -0.47
     détruit
    -0.47
    دانشنامهٔ
    -0.47
     malade
    -0.47
     Lightboxes
    -0.47
    POSITIVE LOGITS
     cardiac
    0.62
     drowning
    0.58
     shock
    0.57
     complications
    0.56
     hypoxia
    0.53
     cardio
    0.51
     suff
    0.50
     sepsis
    0.49
     fatal
    0.49
     multiple
    0.48
    Activations Density 0.762%

    No Known Activations