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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. 6448
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    Explanations

    terms related to design and presentation, particularly focusing on styling and markup

    oai_token-act-pair · gpt-3.5-turbo

    terms related to styling and design elements

    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
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    Negative Logits
    76561
    -0.80
    bs
    -0.76
    founded
    -0.76
    ilo
    -0.74
    oker
    -0.72
    istically
    -0.71
    izen
    -0.68
    uci
    -0.67
     disarm
    -0.66
    cedented
    -0.65
    POSITIVE LOGITS
     Sass
    1.00
     markup
    0.84
     Tang
    0.82
     Styles
    0.73
    raper
    0.73
    atchewan
    0.71
    Advanced
    0.67
    Tang
    0.67
    xual
    0.66
    oola
    0.66
    Activations Density 0.025%

    No Known Activations