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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. 9-RES-JB
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    Explanations

    words related to restroom facilities and usage, particularly focusing on issues related to gender identity and regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bathrooms and restrooms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udic
    -0.83
    arily
    -0.78
    ovsky
    -0.74
    arnaev
    -0.70
     forth
    -0.69
    eq
    -0.66
    arya
    -0.66
    ozy
    -0.64
    */(
    -0.63
    )=(
    -0.62
    POSITIVE LOGITS
     toilets
    1.01
     stalls
    1.00
     toilet
    0.86
     stall
    0.86
     hygiene
    0.84
     plun
    0.83
     bathroom
    0.83
     cleaner
    0.83
    ysis
    0.82
     cub
    0.82
    Activations Density 0.077%

    No Known Activations