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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. 10-RES-JB
    11. 8417
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    Explanations

    mentions of sending or saving data to various devices or locations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iveness
    -0.69
    ctory
    -0.66
    OSED
    -0.63
    otics
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    hetical
    -0.61
    é¾įå¥ij士
    -0.60
    ###
    -0.59
    busters
    -0.59
    natureconservancy
    -0.58
    å¦
    -0.58
    POSITIVE LOGITS
     clipboard
    0.94
     disk
    0.87
    ggles
    0.85
     another
    0.82
     ~/.
    0.80
     whichever
    0.77
     Pastebin
    0.75
     your
    0.74
     std
    0.72
     iCloud
    0.72
    Activations Density 0.151%

    No Known Activations