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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7934
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    Explanations

    references to materials, particularly plastics and leathers, in descriptions of products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     silicone
    -0.56
    !*\
    -0.55
     silicona
    -0.50
     Silicone
    -0.50
     EconPapers
    -0.49
     stainless
    -0.48
     Edelstahl
    -0.45
    новниш
    -0.44
     aluminum
    -0.44
     aluminio
    -0.44
    POSITIVE LOGITS
    製の
    0.59
    製
    0.57
     backing
    0.55
     surround
    0.52
     finish
    0.52
     inserts
    0.52
     cladding
    0.49
     material
    0.48
    covered
    0.48
     lining
    0.48
    Activations Density 0.517%

    No Known Activations