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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2393
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    proper nouns related to characters or entities in a fictional narrative

    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
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    No Comments

    Negative Logits
     Kebijakan
    -0.77
     Keuangan
    -0.73
     Khusus
    -0.70
     Manfaat
    -0.68
     Masyarakat
    -0.68
     Penga
    -0.67
     Lainnya
    -0.66
     Umum
    -0.65
     Lingkungan
    -0.65
     Komunikasi
    -0.62
    POSITIVE LOGITS
     geweſen
    0.90
    ᅝ
    0.90
    <unused43>
    0.90
    <unused20>
    0.89
    <unused41>
    0.89
     müſſen
    0.89
    <unused17>
    0.89
    <unused40>
    0.88
    <unused76>
    0.88
    <pad>
    0.88
    Activations Density 0.081%

    No Known Activations