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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words and phrases in the document that connect multiple clauses together, such as "that", "because, "but", "although", "with", "how", "where", as well as some prepositions

    oai_token-act-pair · gemini-2.0-flash

    that

    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
    which
    -0.66
    Which
    -0.65
     which
    -0.58
     Which
    -0.58
    </strong>
    -0.43
     laquelle
    -0.42
     WHICH
    -0.41
    ↵
    -0.41
     która
    -0.41
     mely
    -0.40
    POSITIVE LOGITS
     they
    1.21
     Efq
    1.11
     ſhe
    1.06
     we
    1.04
     myſelf
    1.03
     initComponents
    0.99
     Wikimedijinoj
    0.98
     there
    0.98
     ſeveral
    0.98
    ">//
    0.97
    Activations Density 9.134%

    No Known Activations