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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 29442
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    Explanations

    items of clothing and their descriptions

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

    shirts and ironing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    WebElementEntity
    -0.49
     surla
    -0.44
     deleteById
    -0.42
    雜
    -0.41
    deleteById
    -0.39
     ujarnya
    -0.39
     Drittan
    -0.39
    redient
    -0.39
    杂
    -0.39
     trainee
    -0.38
    POSITIVE LOGITS
     camicia
    0.58
     camisas
    0.54
    .*")]
    0.54
     Shirts
    0.53
     shirts
    0.52
     camisa
    0.51
     ironing
    0.48
     Shirt
    0.47
    衬衫
    0.47
     kemeja
    0.46
    Activations Density 0.017%

    No Known Activations