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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. 19435
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    Explanations

    verbs related to earning, achieving, or monetary compensation

    oai_token-act-pair · gpt-3.5-turbo

    words related to earning or obtaining, particularly financially or through effort

    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
     illum
    -0.73
     compr
    -0.68
    ":["
    -0.67
     Ultr
    -0.63
    yz
    -0.63
     Mub
    -0.61
    adra
    -0.61
     symp
    -0.59
     mos
    -0.59
    Jess
    -0.59
    POSITIVE LOGITS
     earn
    0.97
    Earn
    0.91
     earning
    0.88
    earned
    0.87
     earned
    0.82
     Earn
    0.82
    hardt
    0.79
     laure
    0.78
     Citation
    0.72
     certificates
    0.71
    Activations Density 0.019%

    No Known Activations