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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. 17126
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    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
     Canaver
    -0.84
    iculture
    -0.71
     condem
    -0.71
    ocracy
    -0.71
    arten
    -0.70
     Democr
    -0.69
    artisan
    -0.68
    imsy
    -0.67
     Purg
    -0.67
     Spur
    -0.66
    POSITIVE LOGITS
     metadata
    1.24
     passwords
    1.22
     fingerprints
    1.20
     logs
    1.11
     receipts
    1.09
     profiles
    1.07
     IDs
    1.07
     snapshots
    1.05
     histories
    1.05
     logged
    1.04
    Activations Density 0.486%

    No Known Activations