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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14668
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    Explanations

    detailed descriptions of scents and perfumes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.56
    SourceChecksum
    -0.52
    istoitu
    -0.46
     onView
    -0.44
     fono
    -0.44
     pymysql
    -0.44
    +#+
    -0.44
     IndexError
    -0.43
     مرئيه
    -0.43
    Fork
    -0.43
    POSITIVE LOGITS
     fragrance
    1.13
     fragrances
    1.10
     scent
    1.01
     scents
    1.00
     perfume
    1.00
     perfumes
    0.95
     smelling
    0.86
     smells
    0.85
     scented
    0.82
     smell
    0.80
    Activations Density 0.045%

    No Known Activations