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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    questions about hypothetical situations using "would", "could", and sometimes "can"

    oai_token-act-pair · gemini-2.0-flash

    would

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
     would
    -1.14
    would
    -0.98
    Would
    -0.88
     Would
    -0.82
     WOULD
    -0.80
    FieldBuilder
    -0.77
     GenerationType
    -0.59
     wou
    -0.58
     referenties
    -0.57
    ScopeManager
    -0.55
    POSITIVE LOGITS
    beforeEach
    0.60
     usati
    0.51
    bestimm
    0.49
    )}_
    0.48
    SEGUIR
    0.47
     chré
    0.46
    ிரு
    0.46
    roni
    0.45
    tti
    0.44
    ladung
    0.44
    Activations Density 4.446%

    No Known Activations