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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. 9-RES-JB
    11. 23910
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    Explanations

    punctuation marks, specifically commas and periods

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and sentence delimiters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.64
     MPG
    -0.62
     territorial
    -0.61
     suspected
    -0.60
     overth
    -0.60
     advoc
    -0.58
     seizure
    -0.58
     Shinra
    -0.58
     bombing
    -0.58
     wart
    -0.57
    POSITIVE LOGITS
    ï¸ı
    1.28
    Ö¼
    0.91
    âĢ
    0.90
    lished
    0.89
    в
    0.87
    [/
    0.84
    _-
    0.83
    ãģĤ
    0.81
    $$
    0.79
    Ïī
    0.79
    Activations Density 0.155%

    No Known Activations