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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. 10-RES-JB
    6. 9716
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    Explanations

    words related to urban development and changes in a location or community

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urban development and gentrification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     printers
    -0.62
     converted
    -0.60
     lowly
    -0.58
     electrodes
    -0.58
     tops
    -0.57
     Converted
    -0.55
     bottles
    -0.55
     vents
    -0.55
     innoc
    -0.55
     cones
    -0.55
    POSITIVE LOGITS
    yssey
    0.91
    ification
    0.89
    isation
    0.88
    iscovery
    0.86
    ciation
    0.84
    ization
    0.83
    ibliography
    0.83
    iquette
    0.82
    essment
    0.81
    cation
    0.80
    Activations Density 0.764%

    No Known Activations