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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. 9-RES-JB
    11. 24111
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    INDEX
    Explanations

    mentions of job-related concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to jobs and employment issues

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    sonian
    -0.75
    LECT
    -0.70
     Revision
    -0.67
    yx
    -0.66
     Mast
    -0.64
    ique
    -0.64
     sidx
    -0.64
     Totem
    -0.64
     Flavoring
    -0.63
     Tant
    -0.62
    POSITIVE LOGITS
     jobs
    0.93
    jobs
    0.83
     displaced
    0.82
     layoffs
    0.78
    Builder
    0.77
     unemployed
    0.76
     prospects
    0.74
    uilt
    0.73
    è¦ļéĨĴ
    0.72
     overseas
    0.72
    Activations Density 0.065%

    No Known Activations