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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 11508
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    Explanations

    references to lakes and water bodies

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     StatelessWidget
    -0.52
    Życiorys
    -0.51
    opposition
    -0.50
    HomeAsUp
    -0.49
    idopsis
    -0.49
    IBarButtonItem
    -0.48
    paganda
    -0.47
     apologised
    -0.47
    bootstrapcdn
    -0.47
    Abitanti
    -0.46
    POSITIVE LOGITS
     lake
    1.20
     lakes
    1.05
     Lake
    0.98
    Lake
    0.90
     pond
    0.83
     Lakes
    0.78
     LAKE
    0.77
    lake
    0.76
     ponds
    0.73
    lakes
    0.71
    Activations Density 0.235%

    No Known Activations