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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. 5001
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    Explanations

    requests for actions or engagement from the reader

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encourage participation or feedback

    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
    ynthesis
    -0.61
    ilater
    -0.60
     effected
    -0.58
     purported
    -0.56
    orld
    -0.56
    ston
    -0.55
     helicop
    -0.55
     Winning
    -0.55
    oded
    -0.54
     mathemat
    -0.54
    POSITIVE LOGITS
     Apply
    0.71
     submit
    0.63
     indulge
    0.63
    ucci
    0.62
    zing
    0.60
     gladly
    0.60
     :)
    0.59
     spoilers
    0.59
    zers
    0.59
     indul
    0.59
    Activations Density 0.034%

    No Known Activations