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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. 16346
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    Explanations

    references to materials used in products, particularly leather and rubber

    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
     metálico
    -0.63
     Edelstahl
    -0.57
     metálica
    -0.53
     metá
    -0.53
     stainless
    -0.52
     aluminio
    -0.51
     aluminum
    -0.47
     aluminium
    -0.47
     inox
    -0.47
     ModelExpression
    -0.46
    POSITIVE LOGITS
    製の
    0.72
    製
    0.71
    covered
    0.70
     covered
    0.64
     coated
    0.64
     Covered
    0.61
     coating
    0.59
     lining
    0.59
    Covered
    0.59
    wrapped
    0.58
    Activations Density 0.531%

    No Known Activations