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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13699
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    Explanations

    terminology related to coatings and their properties in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 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
    Hentet
    -0.57
    Šaltiniai
    -0.56
    Referanser
    -0.55
    tanleria
    -0.54
     '\\;'
    -0.52
    richTextPanel
    -0.50
    GEBURTSDATUM
    -0.49
    PyTuple
    -0.49
    orianCalendar
    -0.49
     Вікіпе
    -0.48
    POSITIVE LOGITS
     coating
    0.96
     Coating
    0.85
     coatings
    0.85
    coating
    0.84
     Coatings
    0.75
     paint
    0.68
    coated
    0.66
     coated
    0.66
    Paint
    0.63
     Paint
    0.62
    Activations Density 0.579%

    No Known Activations