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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2970
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    Explanations

    materials, particularly various types of plastics and leather

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     metálico
    -0.50
     Edelstahl
    -0.47
     EconPapers
    -0.45
     AssemblyCulture
    -0.44
     ModelExpression
    -0.44
    httphttps
    -0.43
    !*\
    -0.40
     aluminio
    -0.40
     mármol
    -0.39
    addCriterion
    -0.38
    POSITIVE LOGITS
    製
    0.69
    製の
    0.68
    covered
    0.64
     coated
    0.63
     mixture
    0.60
     Мексичка
    0.58
     covered
    0.57
     blend
    0.57
     coating
    0.56
     construction
    0.56
    Activations Density 0.507%

    No Known Activations