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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. 2394
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    INDEX
    Explanations

    references to individuals or questions about identity

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

    "Who" or similar "Wh-" words

    np_acts-logits-general · gemini-2.0-flash

    who/whom questions

    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
    phazard
    -0.52
    ある
    -0.40
     dafür
    -0.38
    atience
    -0.38
    다는
    -0.38
    上手
    -0.36
     Advertisement
    -0.35
     lessening
    -0.34
     angep
    -0.34
     extreme
    -0.34
    POSITIVE LOGITS
    Who
    1.05
     hvem
    1.00
     Who
    1.00
    Quién
    0.89
     Siapa
    0.88
    Hvem
    0.87
    Whom
    0.87
     siapa
    0.86
     who
    0.84
     Whom
    0.83
    Activations Density 0.158%

    No Known Activations