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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4869
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    Explanations

    references to different types of smells

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verre
    -0.50
    mpc
    -0.42
     caret
    -0.41
     Sura
    -0.40
     Kato
    -0.40
     Calla
    -0.39
     diri
    -0.38
    ledger
    -0.38
     Pati
    -0.37
    يكب
    -0.37
    POSITIVE LOGITS
     smell
    3.80
     smells
    3.34
    smell
    3.17
     Smell
    3.14
     smelled
    3.13
     smelling
    3.03
    Smell
    2.91
     scent
    2.88
     scents
    2.63
     aroma
    2.61
    Activations Density 0.159%

    No Known Activations