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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 500
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    Explanations

    references to leather products or materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -1.08
    Personensuche
    -1.08
     disambiguazione
    -1.00
     ProtoMessage
    -0.91
    hdashline
    -0.89
    eabouts
    -0.88
    MigrationBuilder
    -0.86
     getRule
    -0.85
    seamnă
    -0.85
     kasarigan
    -0.85
    POSITIVE LOGITS
     leather
    2.93
     Leather
    2.84
    Leather
    2.66
    leather
    2.48
     cuir
    1.72
     cuero
    1.51
     couro
    1.39
    レザー
    1.36
    革
    1.25
     Leder
    1.25
    Activations Density 0.054%

    No Known Activations