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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. 4-RES-JB
    11. 1942
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    Explanations

    mentions of finding a job

    oai_token-act-pair · gpt-3.5-turbo

    references to job-related themes

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

    No Comments

    Negative Logits
     Flavoring
    -0.82
    theless
    -0.72
     Nieto
    -0.67
     rays
    -0.64
     Blast
    -0.64
     Proceed
    -0.64
     penet
    -0.62
     Stev
    -0.59
     Bulg
    -0.59
     Amph
    -0.59
    POSITIVE LOGITS
    aday
    0.91
    job
    0.86
     jobs
    0.85
     Simulator
    0.83
    assian
    0.82
    awaru
    0.81
    jobs
    0.81
     paycheck
    0.78
    anooga
    0.77
     job
    0.77
    Activations Density 0.060%

    No Known Activations