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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6209
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    Explanations

    numbered lists or bullet points in a document

    oai_token-act-pair · gpt-3.5-turbo

    patterns of punctuation and spacing in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estranged
    -0.78
     synthes
    -0.75
     hust
    -0.71
     endeav
    -0.71
     hiber
    -0.69
     freel
    -0.69
    ĸļ
    -0.65
     Stard
    -0.65
    soever
    -0.65
     wedd
    -0.65
    POSITIVE LOGITS
    Notable
    1.11
    Reader
    1.00
    Bonus
    0.96
    Advertisement
    0.93
    Trivia
    0.92
    Favorite
    0.91
    Conclusion
    0.89
    âĵĺ
    0.89
    Score
    0.88
    ?????-?????-
    0.87
    Activations Density 0.351%

    No Known Activations