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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
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    Explanations

    mentions of the word 'wear' in various contexts related to clothing and durability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     regard
    -0.36
     focus
    -0.34
     tänka
    -0.33
     acaso
    -0.32
     Đó
    -0.31
    PageRoute
    -0.31
    EndGlobal
    -0.30
     ready
    -0.30
    convertView
    -0.30
     narrowing
    -0.30
    POSITIVE LOGITS
    SequentialGroup
    0.95
    OGND
    0.71
     Wear
    0.71
     wear
    0.69
    Wear
    0.68
    richTextPanel
    0.67
    +#+#
    0.65
     WEAR
    0.63
     ویکی‌پدی
    0.60
    minate
    0.59
    Activations Density 0.205%

    No Known Activations