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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. 10546
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    INDEX
    Explanations

    mentions of lifestyle-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to lifestyle choices and trends

    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
    rations
    -0.83
    essee
    -0.72
     Dam
    -0.71
    umbn
    -0.70
    astern
    -0.69
     dam
    -0.68
    atchewan
    -0.68
    amen
    -0.67
    ority
    -0.66
    enic
    -0.66
    POSITIVE LOGITS
     lifestyle
    1.05
     lifestyles
    0.90
     habits
    0.90
     choices
    0.86
     regimen
    0.78
     ethic
    0.75
    ifestyle
    0.74
     allowance
    0.74
     modification
    0.72
     expectancy
    0.70
    Activations Density 0.011%

    No Known Activations