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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. 6-RES-JB
    11. 5105
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    Explanations

    sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    topics related to various sports and financial concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.73
    wered
    -0.71
    rawdownloadcloneembedreportprint
    -0.69
    ////
    -0.68
     Shib
    -0.66
     Pesh
    -0.65
    pell
    -0.65
    urat
    -0.64
     AFB
    -0.64
    drawn
    -0.64
    POSITIVE LOGITS
     philos
    0.76
     historians
    0.73
     marketplace
    0.71
     historian
    0.70
     history
    0.69
    makers
    0.68
    science
    0.68
    justice
    0.67
     landscape
    0.67
     careers
    0.67
    Activations Density 0.661%

    No Known Activations