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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2985
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    Explanations

    items of clothing and their descriptions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Personendaten
    -0.43
    WaitGroup
    -0.43
     Alford
    -0.39
    PasswordEncoder
    -0.36
     Вікі
    -0.36
    รรม
    -0.35
     Mars
    -0.35
    XMLSchema
    -0.35
    TypedDataSet
    -0.35
     Foreign
    -0.34
    POSITIVE LOGITS
     ویکی‌پدی
    0.70
     shirt
    0.52
     shirts
    0.51
     tees
    0.47
     Shirt
    0.47
    Shirts
    0.47
    shirts
    0.46
    Shirt
    0.45
     blouse
    0.45
    ktop
    0.44
    Activations Density 0.087%

    No Known Activations