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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. 21596
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    Explanations

    information related to rental housing statistics and policies

    oai_token-act-pair · gpt-3.5-turbo

    statistics and information related to housing and rental circumstances

    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
     polio
    -0.87
    warts
    -0.81
     Virus
    -0.81
     Canaver
    -0.81
     Gaul
    -0.80
     ja
    -0.80
     medal
    -0.75
     doping
    -0.75
     gorilla
    -0.74
    kernel
    -0.74
    POSITIVE LOGITS
     renters
    2.00
     renting
    1.90
     rents
    1.86
     landlords
    1.86
     rental
    1.82
     rent
    1.79
     homeowners
    1.77
     tenants
    1.75
     rentals
    1.75
     apartments
    1.73
    Activations Density 0.640%

    No Known Activations