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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2755
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    Explanations

    elements related to wearable technology, specifically concerning comfort and fit of devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOTAPE
    -0.49
    ⋱
    -0.46
     ditu
    -0.44
     sediment
    -0.43
     Motors
    -0.42
    wyd
    -0.42
    trom
    -0.42
     Son
    -0.41
     revert
    -0.41
    ieteur
    -0.41
    POSITIVE LOGITS
     wearer
    0.99
     worn
    0.97
     Wearing
    0.84
     wearable
    0.84
    Personensuche
    0.82
     Worn
    0.81
    Wearing
    0.79
     wearing
    0.78
    wear
    0.76
     Wear
    0.76
    Activations Density 0.207%

    No Known Activations