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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. 10-RES-JB
    11. 22156
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    Explanations

    mentions of praise or positive feedback

    oai_token-act-pair · gpt-3.5-turbo

    references to artists or their works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     REPORT
    -0.80
     STATES
    -0.70
    Report
    -0.69
     Appendix
    -0.69
     Forensic
    -0.69
    !'
    -0.67
     Plaint
    -0.66
     Enforcement
    -0.66
    report
    -0.65
    =>
    -0.64
    POSITIVE LOGITS
     "'
    1.13
     "[
    1.10
     inspir
    1.05
     inspiration
    1.04
    hedon
    1.03
     "âĢ¦
    1.00
     "
    0.97
     influences
    0.89
     "#
    0.88
     autobi
    0.87
    Activations Density 0.665%

    No Known Activations