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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12730
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    elements related to furniture and storage solutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boot
    -0.40
    BOOT
    -0.38
     Vill
    -0.37
     /*#__
    -0.37
    rungsseite
    -0.36
    mailed
    -0.36
    schirm
    -0.35
    figsize
    -0.35
     PyTuple
    -0.35
     defaultstate
    -0.35
    POSITIVE LOGITS
     shelves
    0.74
     Shelves
    0.73
     Shelf
    0.69
    Shelf
    0.67
     shelving
    0.66
    はじめに
    0.63
     shelf
    0.62
     drawers
    0.57
     cupboards
    0.52
     purpoſe
    0.52
    Activations Density 0.241%

    No Known Activations