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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12378
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    Explanations

    references to materials and their properties in a technical context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     queſta
    -0.88
     ainfi
    -0.75
    GEBURTSDATUM
    -0.75
    berdayakan
    -0.70
     setUsername
    -0.65
     desmotivaciones
    -0.64
    parsedMessage
    -0.63
     Efq
    -0.63
     increí
    -0.63
     quema
    -0.62
    POSITIVE LOGITS
     material
    0.96
     materials
    0.96
    material
    0.92
     Material
    0.92
    materials
    0.88
     Materials
    0.87
    Material
    0.85
    Materials
    0.75
    aterial
    0.74
     MATERIAL
    0.74
    Activations Density 0.185%

    No Known Activations