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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. 1-RES-JB
    6. 9902
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    INDEX
    Explanations

    The main thing this neuron does is find references to human resources or staffing

    oai_token-act-pair · gpt-3.5-turbo

    references to personnel in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rous
    -0.80
    Brow
    -0.77
    lier
    -0.69
    Mother
    -0.68
    PUT
    -0.66
    Deal
    -0.65
    ebook
    -0.65
    wit
    -0.65
    Pic
    -0.64
    fin
    -0.63
    POSITIVE LOGITS
     personnel
    1.27
    andowski
    1.00
     Personnel
    0.97
     veter
    0.95
    chwitz
    0.95
    irtual
    0.94
    ynski
    0.94
    ilitary
    0.89
     corps
    0.88
     morale
    0.84
    Activations Density 0.006%

    No Known Activations