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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14459
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    Explanations

    instances of the word "train" and its variations in the context of data classification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/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.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
     domen
    -0.69
     Tö
    -0.64
    tory
    -0.63
     Siro
    -0.63
     DbContext
    -0.62
    SCAPE
    -0.61
    eringer
    -0.61
     daca
    -0.60
    isks
    -0.59
    Wesley
    -0.58
    POSITIVE LOGITS
     Train
    1.46
     trains
    1.41
     train
    1.38
     TRAIN
    1.36
     Trains
    1.35
    Train
    1.34
    Trains
    1.32
    TRAIN
    1.29
    trains
    1.22
    train
    1.19
    Activations Density 0.063%

    No Known Activations