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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8620
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    Explanations

    references to railroads and rail-related infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
     nakalista
    -0.71
     resourceCulture
    -0.57
    новништво
    -0.52
     Paglinawan
    -0.52
    licone
    -0.52
     desmotivaciones
    -0.52
    RetentionPolicy
    -0.52
    PickerController
    -0.52
     للاسماء
    -0.51
     Exacts
    -0.51
    POSITIVE LOGITS
     railway
    1.16
     railroad
    1.15
     Railway
    1.13
     rail
    1.12
     train
    1.10
    Rail
    1.06
     Railroad
    1.06
     Railways
    1.04
     Rail
    1.02
     Trains
    1.02
    Activations Density 0.192%

    No Known Activations