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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. 9-RES-JB
    11. 20285
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    Explanations

    phrases related to work or workplace

    oai_token-act-pair · gpt-3.5-turbo

    references to work-related concepts and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ukrain
    -1.03
    wcs
    -0.79
    EStream
    -0.73
    iren
    -0.66
     Flavoring
    -0.65
    netflix
    -0.64
     Bubble
    -0.64
     Bour
    -0.63
     Saga
    -0.61
     champagne
    -0.61
    POSITIVE LOGITS
    bench
    1.47
    horse
    1.43
    station
    1.42
    manship
    1.40
    aday
    1.35
    flows
    1.34
     ethic
    1.34
    forces
    1.18
    force
    1.17
    fare
    1.11
    Activations Density 0.068%

    No Known Activations