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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. 8-RES-JB
    11. 23399
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    Explanations

    professors in various fields of study at different universities

    oai_token-act-pair · gpt-3.5-turbo

    references to academic titles and fields of study

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psons
    -0.91
    bucks
    -0.85
    isSpecialOrderable
    -0.79
     blacklist
    -0.78
     loophole
    -0.73
     checkpoints
    -0.71
     unprotected
    -0.71
     raid
    -0.71
     lockout
    -0.70
     shootout
    -0.70
    POSITIVE LOGITS
     Biology
    1.45
     sciences
    1.38
     biology
    1.35
     Sciences
    1.35
     Psychology
    1.34
     Mathematics
    1.32
     Physics
    1.31
     neuroscience
    1.30
     Anthropology
    1.28
     Science
    1.25
    Activations Density 0.341%

    No Known Activations