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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. 9898
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    Explanations

    technical details related to scientific procedures and experiments

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

    washing or rinsing

    np_acts-logits-general · gemini-2.0-flash

    wash and rinse actions

    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
    ArgsConstructor
    -0.59
     heapq
    -0.50
    dost
    -0.50
    aroos
    -0.48
    enetrable
    -0.47
    Ár
    -0.45
     Leal
    -0.44
    ometra
    -0.43
     Himo
    -0.43
     negra
    -0.43
    POSITIVE LOGITS
     wash
    1.75
     washing
    1.72
     washes
    1.56
     washed
    1.56
     Wash
    1.54
    Wash
    1.46
    Washing
    1.44
     Washing
    1.44
    wash
    1.43
     rinse
    1.41
    Activations Density 0.231%

    No Known Activations