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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. 0-RES-JB
    11. 13350
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    Explanations

    phrases related to employment and job positions, particularly emphasizing the term "Jobs" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Jobs," indicating a focus on employment and job-related discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     med
    -0.83
     metre
    -0.76
     regist
    -0.70
     mud
    -0.66
     salt
    -0.64
     cruiser
    -0.64
    aval
    -0.63
    theless
    -0.62
    GF
    -0.62
     vel
    -0.61
    POSITIVE LOGITS
     Jobs
    4.24
    jobs
    2.19
     jobs
    1.94
     Job
    1.80
    Job
    1.68
    job
    1.57
     Employment
    1.29
     job
    1.23
     Occupations
    1.14
     Workers
    1.14
    Activations Density 0.012%

    No Known Activations