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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2880
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    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     defaultstate
    -0.60
    Đi
    -0.52
    trail
    -0.51
     Kochi
    -0.48
    chân
    -0.48
     _("
    -0.47
    KommentareTeilen
    -0.47
    bronze
    -0.46
     hairline
    -0.45
     JsonResult
    -0.45
    POSITIVE LOGITS
    vav
    0.77
    vv
    0.76
     Rav
    0.75
     MAV
    0.75
     Mav
    0.75
     Cavendish
    0.75
     Zav
    0.74
     Lav
    0.74
    Rav
    0.73
     Mv
    0.73
    Activations Density 1.169%

    No Known Activations