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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 86774
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    Explanations

    terminology and references related to railway stations and their services

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

    train subway metro rail lines

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     صوتيه
    -0.54
    AISSEE
    -0.51
    SequentialGroup
    -0.50
     SIMBAD
    -0.49
    EDEFAULT
    -0.47
    ỡng
    -0.46
     defaultstate
    -0.45
    SharedDtor
    -0.45
     للاسماء
    -0.44
     disambiguazione
    -0.43
    POSITIVE LOGITS
     train
    0.61
     subway
    0.60
     Metro
    0.55
     trains
    0.54
     Trains
    0.52
     Subway
    0.50
     TRAIN
    0.50
     linha
    0.50
     line
    0.48
     Line
    0.47
    Activations Density 0.047%

    No Known Activations