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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 50154
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    Explanations

    references to various types of vehicles, specifically trucks and boats

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

    vehicles and transport

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngrx
    -0.40
    ⋙
    -0.36
     desconhe
    -0.35
     nakalista
    -0.35
    Atsauces
    -0.34
    ..\..\
    -0.34
    wpi
    -0.34
     dialami
    -0.33
    なさい
    -0.32
     épaules
    -0.31
    POSITIVE LOGITS
     trucks
    1.25
     Trucks
    1.11
    trucks
    1.05
    vehicles
    1.05
     vehicles
    1.02
     boats
    1.01
     ships
    1.00
    Vehicles
    1.00
     cars
    0.98
     buses
    0.97
    Activations Density 0.012%

    No Known Activations