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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. 5213
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo
    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
    DragonMagazine
    -0.71
    above
    -0.68
    Besides
    -0.65
     definitively
    -0.64
     besides
    -0.63
    BOOK
    -0.62
     exactly
    -0.60
     unequivocally
    -0.59
    authorized
    -0.59
     cryptocurrencies
    -0.58
    POSITIVE LOGITS
     Zup
    0.98
     Vand
    0.95
     Nguyen
    0.90
     Hayes
    0.89
     Walters
    0.89
     Stevenson
    0.87
     Vaughn
    0.87
     Kin
    0.86
     Irwin
    0.86
     Marino
    0.86
    Activations Density 0.303%

    No Known Activations