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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13023
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    Explanations

    references to manufacturing processes and industrial production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     travel
    -0.43
     credentials
    -0.43
     hook
    -0.43
    dto
    -0.42
     davran
    -0.41
     credential
    -0.40
     vector
    -0.40
     verbal
    -0.40
     wireless
    -0.39
     kucing
    -0.39
    POSITIVE LOGITS
     factories
    0.90
     manufacturing
    0.89
    manufacturing
    0.82
    Manufacturing
    0.80
     production
    0.76
    production
    0.75
     Manufacturing
    0.75
    Production
    0.75
     Produktions
    0.73
     factory
    0.73
    Activations Density 0.269%

    No Known Activations