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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. 11-RES-JB
    11. 11693
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    Explanations

    individuals with various levels of experience and expertise in different fields

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating professional or expert qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wake
    -0.83
    yout
    -0.79
    uberty
    -0.75
    happy
    -0.70
     losers
    -0.70
    ollow
    -0.69
    anners
    -0.68
     sinners
    -0.68
     punished
    -0.67
    alloween
    -0.66
    POSITIVE LOGITS
     expertise
    1.60
     familiarity
    1.37
     experience
    1.37
     ties
    1.31
     involvement
    1.20
     knowledge
    1.19
     pedigree
    1.18
     connections
    1.17
     credentials
    1.17
     affili
    1.14
    Activations Density 0.401%

    No Known Activations