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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. 3-RES-JB
    11. 4463
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    Explanations

    phrases containing the word "Please"

    oai_token-act-pair · gpt-3.5-turbo

    requests or prompts for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.79
    tin
    -0.64
    arc
    -0.64
    hig
    -0.64
     Huntington
    -0.64
    ARC
    -0.62
    mund
    -0.62
    ignty
    -0.61
    advertisement
    -0.61
    law
    -0.61
    POSITIVE LOGITS
     note
    0.80
     sir
    0.78
     pardon
    0.72
     underestimate
    0.72
    ifully
    0.71
    zers
    0.71
     forgive
    0.70
     email
    0.70
    herty
    0.70
     Please
    0.69
    Activations Density 0.016%

    No Known Activations