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    3. Gemma-2-2B
    5. 7-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns (names of people, places, and organizations) in different contexts.

    oai_token-act-pair · gemini-2.0-flash

    legal texts

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_7/width_16k/average_l0_70
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    <bos>
    -0.78
    awtextra
    -0.52
    CGRectMake
    -0.47
    kään
    -0.46
     ?)
    -0.45
    extAlignment
    -0.44
     esboço
    -0.42
     Weib
    -0.42
     ]
    -0.41
    AppMethodBeat
    -0.40
    POSITIVE LOGITS
    RUnlock
    0.63
    πάν
    0.59
     sclerosis
    0.58
    CppMethod
    0.57
     vertes
    0.55
    ξεις
    0.54
     Escolar
    0.54
    はじめに
    0.54
    AutoSize
    0.54
     doigt
    0.52
    Activations Density 24.420%

    No Known Activations