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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. 11-RES-JB
    11. 13768
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    Explanations

    words related to busyness and hectic schedules

    oai_token-act-pair · gpt-3.5-turbo

    topics related to stress and the challenges of balancing personal and professional life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opathy
    -0.81
    ocent
    -0.73
    raud
    -0.71
    ewitness
    -0.68
    reverse
    -0.66
    aspers
    -0.66
    itatively
    -0.64
    odox
    -0.64
    inally
    -0.64
    olk
    -0.64
    POSITIVE LOGITS
     workload
    1.59
     schedules
    1.57
     deadlines
    1.45
     juggling
    1.43
     schedule
    1.36
     exhausting
    1.30
     responsibilities
    1.29
     scheduling
    1.28
     stressful
    1.26
     busy
    1.23
    Activations Density 0.741%

    No Known Activations