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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. 9-RES-JB
    11. 23278
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    Explanations

    specific patterns and codes

    oai_token-act-pair · gpt-3.5-turbo

    references to notable events, conditions, and responsibilities related to legal and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Duchess
    -0.90
     Kendall
    -0.82
     Bett
    -0.81
     Ferr
    -0.78
     Starr
    -0.76
     Wyatt
    -0.75
     twent
    -0.74
     Hath
    -0.73
     Norn
    -0.72
    å½
    -0.69
    POSITIVE LOGITS
     physic
    0.98
     Electrical
    0.95
     SOFTWARE
    0.93
    computer
    0.89
    DragonMagazine
    0.85
    javascript
    0.83
     telecommunications
    0.82
    raphics
    0.82
     Cyber
    0.81
     JavaScript
    0.81
    Activations Density 0.562%

    No Known Activations