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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10933
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    words related to woodland plant species

    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
     mangoes
    -0.69
     mango
    -0.63
     ligiloj
    -0.61
    GEBURTSDATUM
    -0.60
     avocado
    -0.59
     EconPapers
    -0.58
     utafitiHapana
    -0.58
    ьаж
    -0.58
     mahogany
    -0.58
     avocados
    -0.57
    POSITIVE LOGITS
     weeds
    0.58
     weed
    0.57
     Weeds
    0.44
    weeds
    0.44
    weed
    0.43
     Weed
    0.38
     wild
    0.37
    Weed
    0.37
     field
    0.36
     annual
    0.36
    Activations Density 0.305%

    No Known Activations