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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. 9-RES-JB
    11. 18054
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    Explanations

    universities and their associated locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific universities and their associated locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idate
    -0.75
    MSN
    -0.69
    ardless
    -0.68
    sold
    -0.66
    ãĥ¼ãĥĨãĤ£
    -0.62
    ãĤ¯
    -0.61
     NAME
    -0.60
     Tycoon
    -0.60
    çİĭ
    -0.59
     legality
    -0.59
    POSITIVE LOGITS
     specializing
    0.98
     studying
    0.97
     resear
    0.86
     School
    0.86
     researching
    0.85
    ournals
    0.85
     Research
    0.83
     researchers
    0.82
     studied
    0.80
     Laboratory
    0.80
    Activations Density 0.248%

    No Known Activations