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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. 753
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    Explanations

    proper nouns and names in a sports context

    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
     utafitiHapana
    -0.45
     AppCompatTheme
    -0.45
    InputTagHelper
    -0.44
    äsident
    -0.43
    Diweddarwch
    -0.42
    IntoConstraints
    -0.40
    principalTable
    -0.40
    GEBURTSDATUM
    -0.39
     AssemblyCulture
    -0.37
     quæ
    -0.37
    POSITIVE LOGITS
     recruit
    0.93
     recruiting
    0.91
    Recruit
    0.88
     Recruiting
    0.86
    recruit
    0.84
     recruits
    0.84
     recruited
    0.83
     recruitment
    0.82
    Recruitment
    0.81
    committed
    0.79
    Activations Density 0.104%

    No Known Activations