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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
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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
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    No Comments

    Negative Logits
     Nanto
    -0.77
     Lans
    -0.65
     Philips
    -0.62
     CLR
    -0.61
     Opt
    -0.59
    ,,,,
    -0.58
    adobe
    -0.58
    uality
    -0.58
    rast
    -0.56
     Wim
    -0.56
    POSITIVE LOGITS
    monary
    0.71
    umbnails
    0.67
    advertisement
    0.66
    rha
    0.65
    imb
    0.63
    amas
    0.63
     guiIcon
    0.60
    ustration
    0.60
    Enlarge
    0.59
    ilon
    0.59
    Activations Density 0.019%

    No Known Activations