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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 9493
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    Explanations

    quantifiable data related to locomotives and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Station
    -0.60
     station
    -0.59
     STATION
    -0.58
    Station
    -0.58
     TRAIN
    -0.57
     railroad
    -0.57
     ferrovia
    -0.57
     ferrovi
    -0.56
     ferroviaire
    -0.55
    chenkt
    -0.55
    POSITIVE LOGITS
    expandindo
    0.71
     tender
    0.65
     bog
    0.61
     tenders
    0.58
     Chwiliwch
    0.54
     Tender
    0.54
    :✨
    0.53
     Bog
    0.52
    Itoa
    0.51
    Tender
    0.50
    Activations Density 0.213%

    No Known Activations