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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. 1-RES-JB
    11. 7520
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    Explanations

    references to printing or printed materials

    oai_token-act-pair · gpt-3.5-turbo

    mentions of printed materials or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hart
    -0.82
     Ashton
    -0.80
    shore
    -0.78
    rolet
    -0.70
    ibur
    -0.69
    hov
    -0.68
    apa
    -0.67
    hunt
    -0.67
    bour
    -0.66
    awk
    -0.66
    POSITIVE LOGITS
     printing
    1.27
     printed
    1.24
     Printing
    1.07
     Printed
    1.06
     prints
    1.06
     print
    1.02
     filament
    0.97
    printed
    0.92
     printer
    0.91
     printers
    0.89
    Activations Density 0.010%

    No Known Activations