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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 25754
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    INDEX
    Explanations

    references to powdered materials in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     calendriers
    -1.03
    =<?
    -0.91
     Soria
    -0.89
     Haye
    -0.87
    thmus
    -0.86
     Greenway
    -0.85
     Lettuce
    -0.85
     DiCaprio
    -0.82
     propOrder
    -0.81
    BeginContext
    -0.81
    POSITIVE LOGITS
     Powder
    1.59
     powder
    1.48
    Powder
    1.45
     powders
    1.38
    powder
    1.27
     powdered
    1.12
     Pow
    1.11
     POW
    1.09
     powdery
    1.04
     poudre
    0.97
    Activations Density 0.018%

    No Known Activations