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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. 15843
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    Explanations

    words related to occupations or workplace activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to occupation and occupancy

    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
    HER
    -0.75
    20439
    -0.72
    grass
    -0.68
    nature
    -0.66
    peer
    -0.66
    sighted
    -0.64
    displayText
    -0.64
    bill
    -0.62
    cale
    -0.61
    forward
    -0.61
    POSITIVE LOGITS
    ational
    1.03
    iers
    0.88
    ation
    0.80
    umes
    0.76
    ations
    0.76
    ainer
    0.76
    ants
    0.74
    Occup
    0.73
    restling
    0.72
    uation
    0.71
    Activations Density 0.009%

    No Known Activations