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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 4850
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    INDEX
    Explanations

    instances of the word "wear" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "wear"

    np_acts-logits-general · gemini-2.0-flash

    wear, wearing, worn

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jScrollPane
    -0.73
    mitives
    -0.69
    hasMoreElements
    -0.68
    writeFieldEnd
    -0.68
    ialog
    -0.66
    Allister
    -0.64
     kaynağından
    -0.61
     decisivo
    -0.61
     anastom
    -0.60
    økt
    -0.59
    POSITIVE LOGITS
     Wear
    1.24
     wear
    1.22
    Wear
    1.13
     worn
    1.06
    wear
    1.01
     WEAR
    0.98
     wears
    0.97
     wore
    0.93
     wearer
    0.91
     Wearing
    0.90
    Activations Density 0.083%

    No Known Activations