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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. 11-RES-JB
    11. 12032
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    Explanations

    phrases related to hiring employees and workforce changes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hiring and employment activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é»Ĵ
    -0.98
    lag
    -0.71
    rencies
    -0.70
    agate
    -0.69
    urrencies
    -0.68
     Travels
    -0.68
    wav
    -0.67
     holiest
    -0.66
     Zionism
    -0.65
    nings
    -0.64
    POSITIVE LOGITS
     employees
    1.62
     staffers
    1.49
     staff
    1.44
     engineers
    1.44
     technicians
    1.42
     workers
    1.42
     interns
    1.42
     workforce
    1.35
     hires
    1.33
     professionals
    1.30
    Activations Density 0.424%

    No Known Activations