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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9521
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    Explanations

    references to welding-related activities and terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Foire
    -0.32
     Espíritu
    -0.31
    ɵɵ
    -0.31
     living
    -0.31
     OFDb
    -0.30
    stretchr
    -0.30
    φο
    -0.30
     nhắn
    -0.29
     Kast
    -0.28
     kaca
    -0.28
    POSITIVE LOGITS
     welding
    1.40
     weld
    1.30
     welds
    1.21
     Welding
    1.20
     welder
    1.20
    Welding
    1.16
     Weld
    1.12
    weld
    1.10
    Weld
    1.06
    wel
    1.05
    Activations Density 0.226%

    No Known Activations