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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 64
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    Explanations

    references to sharp objects, particularly bladed instruments

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    blades or knives

    np_acts-logits-general · gemini-2.0-flash

    knives, blades, and swords

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Lähteet
    -0.67
    żesz
    -0.65
     Reiss
    -0.60
    ThroughAttribute
    -0.60
    hoots
    -0.59
    UREAU
    -0.58
    舺
    -0.58
    Tracce
    -0.57
    ніципа
    -0.56
     跳转至
    -0.56
    POSITIVE LOGITS
     blade
    1.18
     Blade
    0.96
    Blade
    0.95
     knife
    0.93
     blades
    0.92
     sheath
    0.87
    blade
    0.86
     Blades
    0.78
     hilt
    0.76
     handle
    0.74
    Activations Density 0.106%

    No Known Activations