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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    language related to institutions, negative situations, the internet, and programming languages

    oai_token-act-pair · gemini-2.0-flash

    Technical text snippets

    np_max-act-logits · gemini-2.0-flash

    say "first-person pronouns" Method used: 2 — tokens after indicate first-person references

    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_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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    Negative Logits
     européennes
    -0.23
     helyzet
    -0.22
     industriels
    -0.22
     pracovní
    -0.22
     pauvres
    -0.19
     atuais
    -0.19
     fekete
    -0.19
     zöld
    -0.19
     anciens
    -0.19
     actuelles
    -0.19
    POSITIVE LOGITS
    ^(@)
    1.37
     Forumite
    1.20
     itſelf
    1.20
     ་་
    1.20
     doubtnut
    1.19
     ―――――
    1.17
     Efq
    1.17
    ſelves
    1.16
    <pad>
    1.16
    <unused1>
    1.16
    Activations Density 90.172%

    No Known Activations