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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. 3-RES-JB
    11. 17942
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to advisory roles or committees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    days
    -0.82
    DN
    -0.77
    á½
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    import
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    absolute
    -0.71
    LOAD
    -0.70
    animate
    -0.70
    Ton
    -0.70
     Kinnikuman
    -0.69
    uman
    -0.69
    POSITIVE LOGITS
     advisory
    1.30
     advising
    1.09
     advise
    1.02
     Advisory
    1.01
     boards
    0.98
     Advis
    0.93
     advis
    0.90
     commissions
    0.86
     councils
    0.85
     board
    0.85
    Activations Density 0.010%

    No Known Activations