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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. 10256
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    Explanations

    phrases related to academic levels such as "third grade", "fourth grade", "tenth grade", "first generation", and "seventh grade"

    oai_token-act-pair · gpt-3.5-turbo

    references to educational levels and grades

    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
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    Negative Logits
     STATS
    -0.75
    advertisement
    -0.66
     Slaughter
    -0.63
    otal
    -0.63
     Rath
    -0.63
     Logged
    -0.63
     Advertising
    -0.63
     Patel
    -0.62
    epad
    -0.60
    =-=-=-=-=-=-=-=-
    -0.60
    POSITIVE LOGITS
     grad
    1.49
     grade
    1.21
     grades
    1.09
    grad
    1.06
    grade
    0.97
     generation
    0.97
     Grade
    0.95
     semester
    0.93
     cousins
    0.88
    Grade
    0.87
    Activations Density 0.084%

    No Known Activations