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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 14709
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    Explanations

    references to leather and leather products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.72
     cucchia
    -0.69
    ündig
    -0.66
     جغرافيا
    -0.66
     Samo
    -0.65
     SqlCommand
    -0.63
     kasarigan
    -0.61
    idopsis
    -0.61
     Efq
    -0.60
     bahay
    -0.60
    POSITIVE LOGITS
     leather
    1.28
     Leather
    1.13
    Leather
    1.06
    leather
    1.01
     cuir
    0.96
     cuero
    0.91
     couro
    0.89
    bags
    0.85
     bag
    0.83
    bag
    0.80
    Activations Density 0.342%

    No Known Activations