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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 254
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    Explanations

    references to wear in mechanical or material contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EndInit
    -0.66
    ttino
    -0.62
    BuildContext
    -0.62
     EconPapers
    -0.59
    Linki
    -0.58
    getMenuInflater
    -0.57
    tonsoft
    -0.56
    erschrank
    -0.56
     onOptions
    -0.55
     dressed
    -0.55
    POSITIVE LOGITS
     wear
    1.72
     Wear
    1.69
     WEAR
    1.60
    Wear
    1.54
    wear
    1.53
    WEAR
    1.33
     desgaste
    0.82
     worn
    0.82
     Worn
    0.80
     wearable
    0.79
    Activations Density 0.049%

    No Known Activations