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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14591
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    Explanations

    terms related to transportation and logistics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Negative Logits
    lorette
    -0.46
    ptos
    -0.43
    IntoConstraints
    -0.41
    chengla
    -0.40
    berton
    -0.40
    webElementGuid
    -0.38
     defaultstate
    -0.37
     parag
    -0.37
    ⏟
    -0.36
     bersi
    -0.36
    POSITIVE LOGITS
     fleet
    0.93
     Fleet
    0.89
    fleet
    0.87
     fleets
    0.84
    Fleet
    0.79
     trucks
    0.58
    trucks
    0.56
     flota
    0.55
     trucking
    0.54
    truck
    0.53
    Activations Density 0.300%

    No Known Activations