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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. 10-RES-JB
    11. 21641
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    Explanations

    words related to work

    oai_token-act-pair · gpt-3.5-turbo

    references to work or workplace-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Ukrain
    -0.99
    EStream
    -0.80
    wcs
    -0.74
    uyomi
    -0.70
     Bubble
    -0.65
     Flavoring
    -0.64
    iren
    -0.63
     champagne
    -0.61
     Bub
    -0.60
    etsk
    -0.60
    POSITIVE LOGITS
    bench
    1.51
    horse
    1.50
    station
    1.46
    manship
    1.46
    aday
    1.41
     ethic
    1.41
    flows
    1.34
    forces
    1.25
    force
    1.21
    day
    1.15
    Activations Density 0.073%

    No Known Activations