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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. 12-RES-JB
    11. 2398
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    Explanations

    terms related to challenges faced by people with visual impairments

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    terms related to accessibility for people with disabilities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Weber
    -0.97
    romeda
    -0.97
     Crowley
    -0.93
     Comet
    -0.89
    fresh
    -0.87
     seed
    -0.87
     Sabb
    -0.86
     Saud
    -0.85
     seeds
    -0.83
     Wick
    -0.82
    POSITIVE LOGITS
     disability
    2.05
     disabilities
    1.99
     Disability
    1.95
     disabled
    1.82
    disabled
    1.71
     wheelchair
    1.71
     Disabled
    1.64
     accessibility
    1.54
     ADA
    1.47
     handic
    1.45
    Activations Density 0.328%

    No Known Activations