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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. 0-RES-JB
    11. 22542
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    Explanations

    references to retirement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of retirement-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gram
    -0.75
    ope
    -0.67
    grab
    -0.66
    ATT
    -0.65
     infected
    -0.65
    text
    -0.64
    oun
    -0.64
    ounce
    -0.64
     PRESS
    -0.61
    link
    -0.60
    POSITIVE LOGITS
     retirement
    3.91
     Retirement
    2.79
     retire
    2.58
     retiring
    2.32
     retirees
    1.92
     pensions
    1.80
     pension
    1.75
     retired
    1.59
     Pension
    1.44
    irement
    1.41
    Activations Density 0.020%

    No Known Activations