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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. 14826
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    Explanations

    terms related to employment and job status

    oai_token-act-pair · gpt-3.5-turbo

    references to employment-related topics

    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
    zo
    -0.71
     Hide
    -0.69
    ptic
    -0.67
     Cry
    -0.66
     Sens
    -0.65
    ids
    -0.65
    ARI
    -0.64
     Replay
    -0.64
    rand
    -0.62
     Map
    -0.61
    POSITIVE LOGITS
     employment
    3.54
     Employment
    2.35
    employment
    2.32
     unemployment
    1.91
     jobs
    1.91
    Employ
    1.84
     employers
    1.82
     employer
    1.78
     job
    1.61
     Unemployment
    1.59
    Activations Density 0.014%

    No Known Activations