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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1418
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    Explanations

    references to welding and materials in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rembour
    -0.35
    mesine
    -0.33
     antidesliz
    -0.32
     Geist
    -0.31
     Espíritu
    -0.30
    ambién
    -0.30
     pizarra
    -0.30
     ilustración
    -0.29
     alfombra
    -0.29
     geloof
    -0.29
    POSITIVE LOGITS
     welding
    1.41
     weld
    1.27
     Welding
    1.22
     welds
    1.20
    Welding
    1.18
     welder
    1.15
    wel
    1.10
    weld
    1.05
     Weld
    1.05
     welded
    1.03
    Activations Density 0.214%

    No Known Activations