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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. 8-RES-JB
    6. 14599
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    Explanations

    texts related to question and answer (Q&A) formats

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of Q&A sessions or related formats in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.91
    esm
    -0.73
    outhern
    -0.71
    fell
    -0.70
    fitted
    -0.69
    intendent
    -0.66
    dust
    -0.65
    fitting
    -0.64
    lit
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    POSITIVE LOGITS
     Questions
    1.06
     Answers
    1.02
     answ
    1.00
    FAQ
    0.98
    Answer
    0.95
     questions
    0.92
    answer
    0.91
    answered
    0.90
    Discuss
    0.85
     session
    0.82
    Activations Density 0.129%

    No Known Activations