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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. 6438
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    Explanations

    words related to workplace environments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the workplace and related environments

    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
    .$
    -0.77
    atics
    -0.64
    Map
    -0.62
    coins
    -0.62
     Asc
    -0.62
     Cry
    -0.62
     Viktor
    -0.61
     Bapt
    -0.61
     maps
    -0.61
     Henri
    -0.59
    POSITIVE LOGITS
     workplace
    3.71
     workplaces
    2.64
     employer
    1.75
     workforce
    1.74
     employers
    1.57
     occupational
    1.49
     workspace
    1.41
     employment
    1.37
     classroom
    1.36
     cowork
    1.33
    Activations Density 0.009%

    No Known Activations