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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 575
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    Explanations

    information related to protective gear and safety equipment

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

    protective gear

    np_acts-logits-general · gemini-2.0-flash

    protective headgear and armor

    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
    Not in Any Lists

    No Comments

    Negative Logits
     مرئيه
    -0.53
    MigrationBuilder
    -0.53
     Audiodateien
    -0.51
     espont
    -0.49
     calendriers
    -0.49
     Tide
    -0.49
     المعيارى
    -0.49
     resourceCulture
    -0.47
     Candles
    -0.47
    BeginContext
    -0.46
    POSITIVE LOGITS
     helmet
    1.13
     helmets
    1.08
     protective
    1.00
     armor
    0.97
     Helmet
    0.94
     armour
    0.87
     Protective
    0.86
    Helmet
    0.86
    helmet
    0.85
    protective
    0.83
    Activations Density 0.187%

    No Known Activations