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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 12962
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    Explanations

    detailed specifications and technical descriptions related to physical dimensions and measurements

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of physical attributes and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Samar
    -0.81
     LGBT
    -0.77
    faith
    -0.74
     Boko
    -0.73
     Citizenship
    -0.73
     volunt
    -0.73
     Sudan
    -0.71
    clinton
    -0.71
     Jub
    -0.70
     Somali
    -0.70
    POSITIVE LOGITS
     adjustable
    1.04
     airflow
    1.02
     chassis
    1.00
     thickness
    0.98
     optical
    0.97
     compact
    0.95
     Optical
    0.94
     specifications
    0.93
     patented
    0.92
     alloy
    0.91
    Activations Density 1.660%

    No Known Activations