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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8761
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    Explanations

    proper nouns, specifically names of people and their associated attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Putih
    -0.57
     Hitam
    -0.55
     financeira
    -0.51
    parken
    -0.50
     Internasional
    -0.50
     econômica
    -0.49
     Mulher
    -0.48
    hallen
    -0.47
     Kerk
    -0.47
     Ström
    -0.45
    POSITIVE LOGITS
    mann
    0.66
    berger
    0.53
    ke
    0.50
    berg
    0.48
    heck
    0.47
    hardt
    0.47
     seaborn
    0.47
    lma
    0.46
    hold
    0.46
     mann
    0.45
    Activations Density 0.419%

    No Known Activations