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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. 4-RES-JB
    11. 15559
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    Explanations

    technical specifications and measurements

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and measurements related to products or features

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

    No Comments

    Negative Logits
    rh
    -0.68
    nesty
    -0.64
    pu
    -0.63
    usage
    -0.59
    aughtered
    -0.57
    main
    -0.57
     Carly
    -0.56
    xe
    -0.56
    tnc
    -0.56
    wikipedia
    -0.55
    POSITIVE LOGITS
     apiece
    0.73
     respectively
    0.66
    depending
    0.66
     singles
    0.66
    WithNo
    0.63
     starter
    0.63
     destro
    0.63
    itent
    0.63
     laun
    0.61
     plurality
    0.60
    Activations Density 0.636%

    No Known Activations