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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3432
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    Explanations

    names of notable people, particularly women

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     męski
    -0.72
     himself
    -0.68
    pecabe
    -0.66
     móg
    -0.64
     męska
    -0.55
     męskie
    -0.54
     powinien
    -0.54
    himself
    -0.53
    Искәрмәләр
    -0.53
     boyhood
    -0.52
    POSITIVE LOGITS
     Ann
    0.48
     xinh
    0.47
     Marie
    0.43
     Elizabeth
    0.41
     Anne
    0.37
     Louise
    0.37
    enfone
    0.36
    nicole
    0.35
    !*\
    0.34
    лтамалар
    0.34
    Activations Density 0.165%

    No Known Activations