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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5801
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Weiss
    -1.02
     Weiss
    -0.85
    Denver
    -0.81
     Asheville
    -0.81
     Montana
    -0.78
     Hemisphere
    -0.78
     Webster
    -0.77
    aleigh
    -0.77
     Staten
    -0.76
     Florida
    -0.76
    POSITIVE LOGITS
    jriwal
    1.18
    umbai
    1.03
     lakh
    1.01
     Hindi
    1.00
     Tamil
    0.99
     Sharma
    0.95
     Aadhaar
    0.92
     Rs
    0.90
     learnt
    0.90
     Hindus
    0.89
    Activations Density 0.637%

    No Known Activations