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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 7478
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    Explanations

    descriptions of restaurant environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '\\;'
    -0.50
     EconPapers
    -0.41
     sommet
    -0.35
     épis
    -0.34
     táctil
    -0.33
     Alemania
    -0.33
     fabricant
    -0.32
     Edad
    -0.31
     fabricante
    -0.31
    protoc
    -0.30
    POSITIVE LOGITS
     seating
    0.86
     lounge
    0.79
     Seating
    0.73
     benches
    0.69
     cozy
    0.68
     lounges
    0.68
     comfy
    0.66
     dining
    0.66
     comfortable
    0.65
    featureID
    0.65
    Activations Density 0.084%

    No Known Activations