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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 14-GEMMASCOPE-RES-16K
    6. 13051
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    Explanations

    references to clothing and fashion styles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WithIOException
    -0.70
     GenerationType
    -0.59
    principalTable
    -0.53
     hvil
    -0.52
     تضيفلها
    -0.51
     CreateTagHelper
    -0.51
     AssemblyCulture
    -0.51
    Tracce
    -0.49
     campsites
    -0.48
    helves
    -0.48
    POSITIVE LOGITS
     clothing
    0.89
     dress
    0.86
     wear
    0.86
     clothes
    0.85
     worn
    0.85
    wear
    0.84
     attire
    0.84
    wearing
    0.83
     wearing
    0.83
     Wear
    0.82
    Activations Density 0.251%

    No Known Activations