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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    various common words and phrases together, and appears to have specific clusters related to food, cooking, parenting, legal testimony, bread slicing, and job seeking.

    oai_token-act-pair · gemini-2.0-flash

    Processes

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     avoient
    -1.25
     étoient
    -1.23
     étoit
    -1.20
     feroit
    -1.18
     auroit
    -1.17
     ProtoMessage
    -1.13
     ainfi
    -1.09
     pouvoit
    -1.09
     enfans
    -1.05
    tagHelperRunner
    -1.02
    POSITIVE LOGITS
     la
    0.53
    -
    0.50
     bal
    0.48
     dra
    0.47
      
    0.47
     sc
    0.47
     IV
    0.47
     auto
    0.47
     des
    0.46
     w
    0.46
    Activations Density 5.834%

    No Known Activations