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    3. Gemma-2-2B
    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the words "for", "from", "that", or "two"; and numbers; and it prefers those with high usage frequency

    oai_token-act-pair · gemini-2.0-flash

    Quotation marks

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    </b>
    -2.06
    </strong>
    -2.00
    </h1>
    -1.54
    </h4>
    -1.51
    </h3>
    -1.49
    </h2>
    -1.30
    </u>
    -1.27
    </sub>
    -1.22
    </code>
    -1.00
    </td>
    -0.96
    POSITIVE LOGITS
    “
    0.91
     “
    0.67
    。“
    0.60
    、“
    0.60
    ，“
    0.60
    رشف
    0.59
    .“
    0.58
    ?“
    0.57
    يميديا
    0.56
    ：“
    0.55
    Activations Density 25.115%

    No Known Activations