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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. 8653
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    Explanations

    references to tea and its perceived benefits

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

    drinking tea

    np_acts-logits-general · gemini-2.0-flash

    drinking tea

    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
     ControllerBase
    -0.66
     الحره
    -0.57
     Phal
    -0.57
     propOrder
    -0.54
    ьаж
    -0.53
    DataAnnotations
    -0.53
     Rockefeller
    -0.52
     StatefulWidget
    -0.50
     phosphorylation
    -0.50
     Sony
    -0.49
    POSITIVE LOGITS
     tea
    2.31
     Tea
    2.00
    Tea
    1.90
    tea
    1.70
     TEA
    1.59
     teas
    1.58
     teapot
    1.43
    TEA
    1.40
     Teas
    1.36
    茶
    1.22
    Activations Density 0.102%

    No Known Activations