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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 6389
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    Explanations

    references to injury and medical incidents related to individuals

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

    Events involving accidents or death

    np_acts-logits-general · gemini-2.0-flash

    accident or injury events

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cappuccio
    -0.38
     Numerade
    -0.35
     snippetHide
    -0.35
     provecho
    -0.34
     descuento
    -0.34
     descon
    -0.33
     incertidumbre
    -0.32
     respiración
    -0.32
    MenuInflater
    -0.31
     trö
    -0.31
    POSITIVE LOGITS
     accident
    1.18
     Accident
    1.09
     accidents
    1.05
    accident
    1.05
    Accident
    0.98
     accidentally
    0.98
     ACCIDENT
    0.95
     accidente
    0.94
     accidental
    0.89
     Accidents
    0.88
    Activations Density 0.622%

    No Known Activations