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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. 7-RES-JB
    11. 17133
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    Explanations

    mentions of furniture items and related scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to furniture and home appliances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ceed
    -0.92
    uality
    -0.87
    ual
    -0.81
    ulet
    -0.73
    zynski
    -0.72
    nesty
    -0.72
    usha
    -0.71
    iform
    -0.71
    ethe
    -0.70
    celer
    -0.70
    POSITIVE LOGITS
     appliances
    0.83
     furniture
    0.80
     decoration
    0.78
     fixtures
    0.77
     appliance
    0.74
    fell
    0.74
     Furn
    0.74
    stairs
    0.68
     remod
    0.67
     renovations
    0.67
    Activations Density 0.075%

    No Known Activations