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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. 3202
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    Explanations

    references to actors and their film roles

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     administrativos
    -0.44
     Doreen
    -0.44
     programu
    -0.43
     anbieten
    -0.40
     videa
    -0.40
    Personendaten
    -0.40
    Monique
    -0.40
     okre
    -0.40
     communautaire
    -0.39
     decken
    -0.39
    POSITIVE LOGITS
     actors
    1.04
     actor
    0.96
     Actors
    0.85
     actores
    0.82
    Actors
    0.78
     actresses
    0.77
    actors
    0.75
     actress
    0.75
     Actor
    0.74
     stars
    0.74
    Activations Density 0.195%

    No Known Activations