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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. 6-RES-JB
    11. 7150
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    Explanations

    references to employment or jobs

    oai_token-act-pair · gpt-3.5-turbo

    references to employment and job-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ioxide
    -0.70
    owder
    -0.67
    Bot
    -0.65
    Count
    -0.65
     ET
    -0.63
     sidx
    -0.62
     Nikol
    -0.62
     Bundy
    -0.62
    oso
    -0.61
    inel
    -0.61
    POSITIVE LOGITS
     paycheck
    1.00
     tutor
    0.76
    aila
    0.75
    VERTISEMENT
    0.73
     childcare
    0.72
     stressful
    0.71
     ethic
    0.71
     sacrific
    0.71
    entary
    0.70
     toget
    0.69
    Activations Density 0.329%

    No Known Activations