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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. 5091
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    Explanations

    apologies and humorous disclaimers in text, such as "sorry," "warning," "LOL," "kidding," and "pardon."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of apology or caution

    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
    Not in Any Lists

    No Comments

    Negative Logits
    fund
    -0.85
    ieg
    -0.75
    isch
    -0.70
    natureconservancy
    -0.70
    eller
    -0.65
    artney
    -0.65
    ivery
    -0.63
    iet
    -0.61
    deb
    -0.61
    oru
    -0.61
    POSITIVE LOGITS
     kidding
    0.89
    WithNo
    0.67
     prest
    0.64
     typo
    0.64
     forgot
    0.63
     caveats
    0.62
    FontSize
    0.61
     Bloody
    0.60
     sir
    0.60
     reader
    0.59
    Activations Density 0.133%

    No Known Activations