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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
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    INDEX
    Explanations

    mentions of labor-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to labor and working conditions

    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
    colour
    -1.05
     apologise
    -0.81
     Surrey
    -0.81
     authorised
    -0.77
     analysed
    -0.76
     Cardiff
    -0.75
     apologised
    -0.74
     realise
    -0.74
    arthed
    -0.72
     colours
    -0.72
    POSITIVE LOGITS
     labor
    4.05
     labour
    2.75
     laborers
    2.24
    Labor
    2.07
     Labor
    2.06
     workforce
    1.39
     unions
    1.31
     workers
    1.30
    abor
    1.24
     worker
    1.23
    Activations Density 0.014%

    No Known Activations