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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8991
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    Explanations

    references to traffic safety and accidents involving vehicles and trains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to traffic, roads, vehicles, and driving safety hazards.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.40
    Coordonnées
    -0.37
    titleMargin
    -0.35
    Atsauces
    -0.35
     nakalista
    -0.35
    rmtree
    -0.35
    MLLoader
    -0.35
     lavorato
    -0.35
    sidemargin
    -0.34
    StoreMessageInfo
    -0.34
    POSITIVE LOGITS
     traffic
    1.46
     Traffic
    1.35
    Traffic
    1.32
    traffic
    1.23
     driving
    1.19
     motorists
    1.16
     Driving
    1.16
     driver
    1.10
     drivers
    1.09
     Drivers
    1.09
    Activations Density 0.372%

    No Known Activations