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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. 17282
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    Explanations

    references to rules, regulations, or official procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to government programs and regulations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    CONCLUS
    -0.77
     FANT
    -0.76
    future
    -0.70
     whilst
    -0.70
    Tomorrow
    -0.69
    Async
    -0.69
     pandemonium
    -0.67
     ;)
    -0.66
     :-)
    -0.65
    hiro
    -0.65
    POSITIVE LOGITS
     federally
    1.03
     exemptions
    1.01
     exceptions
    0.98
     varies
    0.97
     federal
    0.96
     typically
    0.96
    usually
    0.94
     stip
    0.93
    typically
    0.92
     statutes
    0.89
    Activations Density 1.035%

    No Known Activations