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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1033
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    Explanations

    characteristics and materials associated with products, particularly luxury items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Референце
    -0.34
     enfans
    -0.33
     anemia
    -0.33
     dapur
    -0.33
     bicchiere
    -0.32
     бю
    -0.30
    Cyfeiriadau
    -0.30
    __':
    -0.30
    RTP
    -0.30
     Glas
    -0.30
    POSITIVE LOGITS
     leather
    1.91
     Leather
    1.70
    Leather
    1.65
    leather
    1.62
     cuero
    1.32
     cuir
    1.20
     suede
    1.20
     چرم
    1.20
     couro
    1.19
    レザー
    1.09
    Activations Density 0.181%

    No Known Activations