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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14641
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    terms related to trains and railway systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    licone
    -0.41
     Gnade
    -0.39
     asuntos
    -0.38
     Griechen
    -0.38
     miró
    -0.37
     Crespo
    -0.37
     agradecer
    -0.36
     Italij
    -0.35
    ValueStyle
    -0.35
    couverture
    -0.34
    POSITIVE LOGITS
     train
    2.64
     Train
    2.52
    Train
    2.22
     trains
    2.22
     Trains
    2.14
    train
    2.06
     TRAIN
    2.05
     rail
    1.95
     railway
    1.91
     railroad
    1.89
    Activations Density 0.171%

    No Known Activations