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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. 8026
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    Explanations

    references to materials, specifically metals such as stainless steel and titanium

    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
     soldering
    -0.35
    BigNumber
    -0.31
     Callahan
    -0.30
     shooting
    -0.30
    メダル
    -0.30
     Barrett
    -0.29
    sum
    -0.29
     Hopkins
    -0.28
    بوابة
    -0.28
     Vil
    -0.28
    POSITIVE LOGITS
     steel
    1.70
     Steel
    1.50
    Steel
    1.47
    steel
    1.47
     STEEL
    1.39
     steels
    1.34
    钢
    1.16
    鋼
    1.16
     aço
    1.15
     stål
    1.15
    Activations Density 0.186%

    No Known Activations