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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. 6041
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    empty segments or gaps in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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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    Negative Logits
     Vaugh
    -0.63
    egu
    -0.57
    ¢
    -0.55
     Nickel
    -0.55
    away
    -0.55
    aires
    -0.53
     doorstep
    -0.52
    bye
    -0.52
     purse
    -0.51
     hub
    -0.50
    POSITIVE LOGITS
     embodiments
    0.79
    DragonMagazine
    0.77
    REDACTED
    0.76
     largeDownload
    0.67
     Originally
    0.63
    20439
    0.63
     ());
    0.62
     ][
    0.62
     ):
    0.61
    lycer
    0.60
    Activations Density 0.376%

    No Known Activations