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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7678
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    INDEX
    Explanations

    references to popular film and television franchises and their interconnectedness within the media landscape

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Followed by a possessive pronoun or article

    np_acts-logits-general · gemini-2.0-flash

    famous people and brands

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     niebla
    -0.47
     espalda
    -0.40
     rescate
    -0.40
     bordado
    -0.40
     especializado
    -0.39
     dudas
    -0.38
     mediodía
    -0.38
     protectora
    -0.38
     estacionamiento
    -0.38
     desconocido
    -0.38
    POSITIVE LOGITS
     Tesla
    0.85
     Jefus
    0.81
     Kanye
    0.79
     Beyoncé
    0.79
     LeBron
    0.77
     Pixar
    0.74
     Avengers
    0.73
     Beatles
    0.73
     SpaceX
    0.73
     Disney
    0.72
    Activations Density 1.728%

    No Known Activations