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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10339
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    INDEX
    Explanations

    references to airline travel logistics

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

    air travel

    np_acts-logits-general · gemini-2.0-flash

    airline and flight information

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     насељу
    -0.68
     Roskov
    -0.67
    PhysRev
    -0.65
    (!__
    -0.63
     onCancelled
    -0.61
    SequentialGroup
    -0.61
     extérieurs
    -0.58
     resourceCulture
    -0.57
    rungsseite
    -0.56
    onViewCreated
    -0.56
    POSITIVE LOGITS
     flight
    1.05
     boarding
    0.98
     Flight
    0.92
     flights
    0.88
     baggage
    0.88
     passengers
    0.84
     airlines
    0.82
     airline
    0.82
     plane
    0.82
    Flight
    0.82
    Activations Density 0.142%

    No Known Activations