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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. 3-RES-JB
    11. 15586
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    Explanations

    certain hourly wage amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to earning wages or income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":["
    -0.67
    Jess
    -0.67
     Mub
    -0.66
     Franz
    -0.62
     symp
    -0.59
     Muk
    -0.59
     compr
    -0.59
     Austral
    -0.58
    olver
    -0.58
     anus
    -0.58
    POSITIVE LOGITS
     earn
    1.06
     earning
    0.96
    Earn
    0.94
     earned
    0.86
     Earn
    0.86
    hardt
    0.84
     certificates
    0.75
    earned
    0.75
     earners
    0.74
     income
    0.72
    Activations Density 0.012%

    No Known Activations