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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. 14261
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    Explanations

    words related to vendors or vending

    oai_token-act-pair · gpt-3.5-turbo

    references to vendors and their activities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    thritis
    -0.74
    pson
    -0.72
    chie
    -0.69
    mund
    -0.68
    liner
    -0.63
    ochond
    -0.62
    omer
    -0.61
     Garfield
    -0.61
     Dunk
    -0.61
     Clarkson
    -0.61
    POSITIVE LOGITS
     vendors
    1.04
     vendor
    0.86
     booths
    0.82
     Vend
    0.73
     sellers
    0.73
    endor
    0.72
    tail
    0.71
    stration
    0.70
     offering
    0.70
     Vendor
    0.69
    Activations Density 0.039%

    No Known Activations