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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 700
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    Explanations

    references to specific groups of people or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Sentences containing relative pronouns "who" or "whom."

    np_acts-logits-general · gemini-2.0-flash

    someone who

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nahilalakip
    -0.78
    IVEREF
    -0.72
     AssemblyCulture
    -0.68
    writeFieldEnd
    -0.66
    uron
    -0.66
    цездатний
    -0.65
     lenker
    -0.64
    ruptedException
    -0.63
     CURIAM
    -0.63
     EconPapers
    -0.63
    POSITIVE LOGITS
     who
    4.33
    who
    3.26
     whom
    3.03
     quien
    2.57
    whom
    2.48
    Who
    2.41
     Who
    2.39
     whose
    2.38
     quienes
    2.10
     quién
    2.09
    Activations Density 1.186%

    No Known Activations