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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. 634
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    Explanations

    terms related to broadband internet services

    oai_token-act-pair · gpt-3.5-turbo

    references to broadband services and competition in telecommunications

    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
    Not in Any Lists

    No Comments

    Negative Logits
    hiro
    -0.85
    orian
    -0.82
    urat
    -0.81
    uana
    -0.79
    udic
    -0.75
    ammad
    -0.74
    ean
    -0.73
    orical
    -0.72
    otte
    -0.70
    udo
    -0.69
    POSITIVE LOGITS
     connectivity
    1.04
     broadband
    0.94
     speeds
    0.94
     subscribers
    0.89
     providers
    0.89
     infrastructure
    0.87
     optic
    0.81
     accessibility
    0.80
     affordability
    0.79
     bandwidth
    0.78
    Activations Density 0.008%

    No Known Activations