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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. 8-RES-JB
    11. 9444
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    Explanations

    phrases related to conflicts or debates between opposing concepts like symbol vs. substance, words vs. deeds, good vs. evil, work vs. welfare, and quality vs. quantity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to comparisons and contrasts, particularly between concepts of good and evil or rights and wrongs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iband
    -0.81
     Vaugh
    -0.72
     sugg
    -0.72
    aston
    -0.70
    akening
    -0.69
    IDA
    -0.69
    ONSORED
    -0.69
    ktop
    -0.69
    YD
    -0.69
    aly
    -0.69
    POSITIVE LOGITS
     reality
    0.74
     UX
    0.68
     Reality
    0.65
     Magic
    0.64
     tech
    0.63
     damned
    0.63
     democracy
    0.62
     CGI
    0.62
     noun
    0.62
     mush
    0.61
    Activations Density 0.269%

    No Known Activations