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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. 9-RES-JB
    6. 2108
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    oai_token-act-pair · gpt-3.5-turbo

    references to commenters and their opinions in discussions

    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
     ÂŃ
    -0.76
     federally
    -0.63
     foundations
    -0.61
     lucrative
    -0.60
     aspir
    -0.58
     engulfed
    -0.58
     immersed
    -0.57
     beneficiaries
    -0.57
     domestically
    -0.57
     nascent
    -0.57
    POSITIVE LOGITS
     commenter
    1.26
     comments
    1.15
     reddit
    1.11
     replies
    1.09
     comment
    1.06
     commenters
    1.03
     commented
    1.00
     Quote
    0.97
     reply
    0.97
     thread
    0.95
    Activations Density 0.693%

    No Known Activations