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    1. Home
    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 13586
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    INDEX
    Explanations

    references to household furniture

    oai_token-act-pair · gpt-3.5-turbo

    references to furniture and its maintenance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aneously
    -0.71
    awar
    -0.68
    ilitary
    -0.64
    ceed
    -0.64
    uberty
    -0.64
     Ibid
    -0.62
    mary
    -0.61
     Iss
    -0.61
     Violent
    -0.61
    ————
    -0.60
    POSITIVE LOGITS
     furniture
    1.26
     decoration
    0.96
     chairs
    0.93
    iture
    0.92
     decorations
    0.89
     drawer
    0.86
     Crate
    0.78
     Furn
    0.78
     shelves
    0.77
     arrang
    0.77
    Activations Density 0.022%

    No Known Activations