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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. 7-RES-JB
    11. 4020
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    Explanations

    instances where a person's job or duty is being discussed or referenced

    oai_token-act-pair · gpt-3.5-turbo

    references to performing duties or responsibilities associated with a job

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dwell
    -0.73
    razil
    -0.73
    anson
    -0.72
    iasm
    -0.71
    urated
    -0.68
    osponsors
    -0.67
    culus
    -0.66
    etheus
    -0.66
     Flavoring
    -0.66
     Bound
    -0.65
    POSITIVE LOGITS
     efficiently
    0.87
     responsibly
    0.86
     differently
    0.85
     impart
    0.81
     injustice
    0.81
     outdoors
    0.79
     indoors
    0.79
     entrusted
    0.79
     grunt
    0.78
     satisf
    0.78
    Activations Density 0.092%

    No Known Activations