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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. 1104
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    Explanations

    keywords related to the concept of work or workplace

    oai_token-act-pair · gpt-3.5-turbo

    references to employment and work-related topics

    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
    -0.85
    anamo
    -0.72
    EStream
    -0.71
    adoes
    -0.70
    ortium
    -0.69
     Bol
    -0.67
    LECT
    -0.67
     Ukrain
    -0.67
    emonic
    -0.65
     sidx
    -0.65
    POSITIVE LOGITS
     ethic
    1.24
    bench
    1.09
    manship
    1.03
    station
    1.00
    aday
    0.96
    place
    0.94
    week
    0.91
    ername
    0.91
    fare
    0.90
    work
    0.87
    Activations Density 0.075%

    No Known Activations