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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10105
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    INDEX
    Explanations

    the word "who" and its variations

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

    Follows "who" (often describing a person)

    np_acts-logits-general · gemini-2.0-flash

    who

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.46
    ert
    -0.44
    layout
    -0.44
    ortes
    -0.44
    发表于
    -0.44
    ignet
    -0.43
     Sanford
    -0.43
    enta
    -0.42
    litz
    -0.42
    jus
    -0.42
    POSITIVE LOGITS
     who
    1.52
    Who
    1.30
     Who
    1.28
    who
    1.23
     którzy
    1.21
     whom
    1.09
     kteří
    1.08
     quien
    1.05
     quién
    1.01
     quienes
    1.00
    Activations Density 0.114%

    No Known Activations