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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. 5379
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    text that includes statistical or factual claims

    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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    No Comments

    Negative Logits
     glim
    -0.76
     Weiss
    -0.75
    Weiss
    -0.75
     Atlas
    -0.74
     Olson
    -0.73
     Hemisphere
    -0.72
     Beacon
    -0.71
     Pennsylvania
    -0.68
     Tulsa
    -0.67
     Floyd
    -0.67
    POSITIVE LOGITS
    jriwal
    1.11
     Hindi
    1.01
     Sharma
    1.01
    pta
    1.00
    umbai
    0.98
     Bengal
    0.97
     Delhi
    0.95
     lakh
    0.95
     BJP
    0.95
     Maharashtra
    0.93
    Activations Density 0.722%

    No Known Activations