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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 1243
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    INDEX
    Explanations

    terms related to washing and cleanliness processes

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

    washing, laundrying, or cleaning

    np_acts-logits-general · gemini-2.0-flash

    washing items

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.78
     pulumi
    -0.65
     reven
    -0.59
    eltjes
    -0.56
    AKAN
    -0.56
    belea
    -0.55
     springfox
    -0.55
    []=
    -0.54
    odeficiency
    -0.54
     Maje
    -0.53
    POSITIVE LOGITS
     washing
    1.21
     laundry
    1.14
    Washing
    1.11
     Washing
    1.10
    Wash
    1.04
     washer
    1.02
     laund
    1.02
    Laundry
    1.02
    washing
    1.01
     washed
    0.99
    Activations Density 0.148%

    No Known Activations