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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. 2-RES-JB
    11. 14564
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    Explanations

    words related to business operations and performance metrics, specifically focusing on the term 'turnover'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to business metrics, specifically turnover and employee retention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liam
    -0.90
    TERN
    -0.81
    bour
    -0.76
    abol
    -0.70
    este
    -0.67
    wig
    -0.66
    eday
    -0.65
    ":[{"
    -0.64
    tiny
    -0.62
    andro
    -0.59
    POSITIVE LOGITS
     turnover
    0.89
    luster
    0.76
     margin
    0.73
     aversion
    0.72
     margins
    0.71
     proble
    0.70
     turnovers
    0.68
     retention
    0.66
     Qiao
    0.66
    staff
    0.65
    Activations Density 0.009%

    No Known Activations