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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. 11854
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    Explanations

    names of notable individuals and their professions

    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
    strix
    -0.57
     המק
    -0.44
    
    -0.43
    Mitar
    -0.43
     defaultstate
    -0.42
     évi
    -0.42
     atve
    -0.42
    essoal
    -0.41
     kayna
    -0.41
    IntoConstraints
    -0.41
    POSITIVE LOGITS
     novelist
    1.10
     journalist
    1.07
     writer
    0.95
     filmmaker
    0.94
     poet
    0.94
     songwriter
    0.90
     singer
    0.90
     entrepreneur
    0.89
     historian
    0.89
     comedian
    0.88
    Activations Density 0.496%

    No Known Activations