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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    fragments of questions, particularly those using "we", "is", or "do"

    oai_token-act-pair · gemini-2.0-flash

    really

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Hozzáférés
    -0.59
    RuleContext
    -0.56
     delincuentes
    -0.52
    értelmű
    -0.52
    __':
    -0.51
    styleType
    -0.48
    __':
    -0.48
    udar
    -0.47
    inafter
    -0.47
    Général
    -0.47
    POSITIVE LOGITS
     really
    3.39
    really
    3.03
     Really
    2.91
    Really
    2.86
     REALLY
    2.38
     vraiment
    2.08
     realmente
    2.00
     wirklich
    1.95
     realy
    1.93
     davvero
    1.84
    Activations Density 2.356%

    No Known Activations