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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6035
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    Explanations

    references to transportation infrastructure and routes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.47
    탤
    -0.43
     MonoBehaviour
    -0.41
     препратки
    -0.41
    TextHelper
    -0.40
    Demografía
    -0.39
     turística
    -0.38
     coloriage
    -0.38
    Visitor
    -0.37
     Visitor
    -0.37
    POSITIVE LOGITS
     freight
    1.38
     cargo
    1.36
     shipping
    1.25
     shippers
    1.23
     Freight
    1.19
     shipper
    1.19
     container
    1.18
     Cargo
    1.17
     shipment
    1.14
    Freight
    1.11
    Activations Density 0.269%

    No Known Activations