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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. 7-RES-JB
    11. 4052
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    Explanations

    words related to historical events and locations, particularly focused on Tiananmen Square

    oai_token-act-pair · gpt-3.5-turbo

    references to the Tiananmen Square protests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĨĴ
    -0.72
     fict
    -0.69
     Palest
    -0.68
     SERV
    -0.67
     psychiat
    -0.65
     nomine
    -0.63
    imately
    -0.61
    ruary
    -0.59
     ACTIONS
    -0.59
    irlf
    -0.58
    POSITIVE LOGITS
    pole
    0.79
    jen
    0.77
    oshenko
    0.75
    oola
    0.74
    ugu
    0.72
    Nar
    0.71
    culosis
    0.69
    agi
    0.69
    uden
    0.69
    obl
    0.68
    Activations Density 0.410%

    No Known Activations