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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 4941
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    INDEX
    Explanations

    references to the word "who" and related phrases indicating identification or inquiries about individuals

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

    who and identity

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    enite
    -0.52
     Opti
    -0.50
    phazard
    -0.48
     Karsten
    -0.48
    eavour
    -0.47
    ennan
    -0.47
     Aitken
    -0.47
     Ill
    -0.46
    dene
    -0.45
     FES
    -0.45
    POSITIVE LOGITS
    Who
    1.04
     hvem
    0.98
     who
    0.97
    who
    0.97
     whom
    0.96
     Who
    0.96
     Whom
    0.90
    whom
    0.88
     quién
    0.84
     Siapa
    0.81
    Activations Density 0.015%

    No Known Activations