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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6081
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    Explanations

    references to different types of leather and related products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.92
     Alamos
    -0.82
     Emmer
    -0.79
    벤트
    -0.78
     Castillo
    -0.78
    +#+#
    -0.76
     Landis
    -0.76
     Barclay
    -0.76
     Manley
    -0.74
    NodeId
    -0.74
    POSITIVE LOGITS
     Leather
    1.18
    Leather
    1.06
     leather
    1.05
     Guna
    0.88
    leather
    0.84
     cuir
    0.78
     Mitt
    0.77
     cuero
    0.76
     saurait
    0.75
    革
    0.74
    Activations Density 0.616%

    No Known Activations