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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8987
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    INDEX
    Explanations

    phrases related to transportation and movement

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

    landing or disembarking

    np_acts-logits-general · gemini-2.0-flash

    arrival and departure verbs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transportation
    -0.60
     Transportation
    -0.57
    Transportation
    -0.56
    transportation
    -0.52
     transporte
    -0.52
     transport
    -0.50
     trasporto
    -0.50
     doprav
    -0.48
     ftate
    -0.48
    transport
    -0.48
    POSITIVE LOGITS
     landing
    1.14
     disemb
    1.03
     landings
    1.00
     landed
    0.96
     unloading
    0.95
     unload
    0.95
     desembar
    0.94
     Landing
    0.92
    landing
    0.92
    Landing
    0.91
    Activations Density 0.277%

    No Known Activations