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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 9664
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    INDEX
    Explanations

    references to document processing and data capture technologies

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

    document scanning or processing

    np_acts-logits-general · gemini-2.0-flash

    scanning and OCR

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.31
    дже
    -0.30
     stock
    -0.30
    ритори
    -0.30
    SupportActionBar
    -0.29
    EFE
    -0.29
    뀐
    -0.29
     bob
    -0.28
     Distribution
    -0.28
     depleted
    -0.28
    POSITIVE LOGITS
     scanned
    1.05
     scanning
    0.94
     OCR
    0.93
     scans
    0.91
     scan
    0.86
     Scanning
    0.84
    OCR
    0.81
     scanner
    0.80
    Scanning
    0.78
     Scan
    0.76
    Activations Density 0.420%

    No Known Activations