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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. 7-RES-JB
    6. 4273
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    INDEX
    Explanations

    career trajectories and professional aspirations

    oai_token-act-pair · gpt-3.5-turbo

    references to career advancement and professional positions

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     overfl
    -0.71
    echo
    -0.67
     malfunction
    -0.62
     Plot
    -0.61
    aeus
    -0.61
     caption
    -0.59
     Lavrov
    -0.58
    zers
    -0.58
     beware
    -0.57
    weak
    -0.57
    POSITIVE LOGITS
     someday
    0.89
    thood
    0.89
     careers
    0.87
     Career
    0.83
     academ
    0.82
     academy
    0.81
     professionally
    0.80
     coaching
    0.79
     unemploy
    0.79
     career
    0.79
    Activations Density 0.513%

    No Known Activations