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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7530
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    Explanations

    nouns and titles related to individuals in sports and government contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itſelf
    -0.73
     ſtate
    -0.70
    ſelves
    -0.70
    ſelf
    -0.67
     ftate
    -0.66
    GEBURTSDATUM
    -0.66
     houſe
    -0.65
     himſelf
    -0.65
     themſelves
    -0.64
     ſta
    -0.62
    POSITIVE LOGITS
     Rabbi
    0.53
     Professor
    0.50
     Senator
    0.49
     Councilman
    0.47
     Mayor
    0.47
    Senator
    0.46
     Congressman
    0.46
    Rabbi
    0.46
     Dr
    0.45
     Minister
    0.44
    Activations Density 0.346%

    No Known Activations