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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. 162
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    Explanations

    phrases related to the standard or cost of living

    oai_token-act-pair · gpt-3.5-turbo

    topics relating to the quality of life and living conditions

    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
     Sloan
    -0.77
    sonian
    -0.74
    etsk
    -0.74
    eday
    -0.70
    reek
    -0.68
    pell
    -0.68
     cloudy
    -0.66
    ockey
    -0.66
    ledged
    -0.65
     Byrd
    -0.65
    POSITIVE LOGITS
     expectancy
    0.78
     wellbeing
    0.74
     improvements
    0.72
     amenities
    0.70
     satisfaction
    0.70
     Adjust
    0.69
     adjustments
    0.68
     impairment
    0.68
     adjustment
    0.68
     Improvement
    0.67
    Activations Density 0.105%

    No Known Activations