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    2. Gemma-2-2B
    3. 0-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    positive words, especially "smile" and words related to the concept of school

    oai_token-act-pair · gemini-2.0-flash

    smile

    np_max-act · gemini-2.0-flash

    smile

    np_max-act-logits · gpt-5-miniTriggered by @chenshw0109
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.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
    ,
    -0.75
     dos
    -0.70
     las
    -0.68
    /
    -0.65
     (
    -0.63
    で
    -0.60
     sur
    -0.60
     che
    -0.59
    (
    -0.58
     in
    -0.57
    POSITIVE LOGITS
     définiti
    1.38
    DockStyle
    1.38
    berdayakan
    1.28
    ſelf
    1.23
     contextLoads
    1.23
    MLLoader
    1.20
     pleaſure
    1.20
    awtextra
    1.20
     cérami
    1.20
     $_"
    1.19
    Activations Density 1.501%

    No Known Activations