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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    sentences with personal pronouns and auxiliary verbs like "can", "will", or "'t"

    oai_token-act-pair · gemini-2.0-flash

    t

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
     مشين
    -1.11
     Efq
    -0.84
    berdayakan
    -0.83
    oa̍t
    -0.83
     Diſ
    -0.81
    tonode
    -0.81
     Monfieur
    -0.77
    CPtr
    -0.77
     pleaſure
    -0.77
     greateſt
    -0.76
    POSITIVE LOGITS
    通
    0.50
    ath
    0.44
     es
    0.41
     des
    0.40
     notice
    0.39
     Notice
    0.38
     ко
    0.38
     du
    0.37
     Val
    0.37
     sp
    0.37
    Activations Density 1.387%

    No Known Activations