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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. 14194
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     glim
    -0.85
     withd
    -0.84
     conclud
    -0.72
     grounding
    -0.71
     enthusi
    -0.70
     thous
    -0.68
     Frenchman
    -0.65
     disg
    -0.63
    enegger
    -0.63
     unden
    -0.63
    POSITIVE LOGITS
    jpg
    1.13
    txt
    1.03
    html
    1.02
    edu
    1.01
    png
    1.00
    tv
    1.00
    com
    0.99
    htm
    0.99
    php
    0.98
    icio
    0.97
    Activations Density 0.101%

    No Known Activations