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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. 0-RES-JB
    11. 18817
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    Explanations

    references to issues or actions related to toilets

    oai_token-act-pair · gpt-3.5-turbo

    references to toilets and bathrooms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gment
    -0.77
     fragment
    -0.75
    rend
    -0.71
    azer
    -0.71
    arine
    -0.69
    inar
    -0.66
     component
    -0.65
     bundle
    -0.64
    rn
    -0.63
     mes
    -0.62
    POSITIVE LOGITS
     toilets
    3.54
     bathrooms
    2.34
     restrooms
    2.29
     sanitation
    1.35
     kitchens
    1.30
     showers
    1.19
     benches
    1.18
     fences
    1.14
     tents
    1.13
     restroom
    1.12
    Activations Density 0.018%

    No Known Activations