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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. 11-RES-JB
    11. 3824
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of people mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edition
    -0.64
     td
    -0.64
    iminary
    -0.60
    wrote
    -0.58
    comes
    -0.55
     comprises
    -0.55
    Ħ¢
    -0.55
    pmwiki
    -0.54
    ought
    -0.54
    eers
    -0.52
    POSITIVE LOGITS
     Guth
    0.77
     Russo
    0.75
     Daniels
    0.75
     Greene
    0.70
     whenever
    0.70
     Draper
    0.70
     Fowler
    0.70
     Walsh
    0.69
     Hansen
    0.69
     Hoffman
    0.68
    Activations Density 0.317%

    No Known Activations