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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. 4-RES-JB
    11. 4725
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    Explanations

    phrases related to giving or receiving orders

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to commands or directives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Rodham
    -0.74
    ãĤ©
    -0.73
    tiny
    -0.70
    olson
    -0.68
    Toy
    -0.67
     Qué
    -0.67
    Gordon
    -0.66
    CTV
    -0.66
    Mini
    -0.66
     Copenhagen
    -0.66
    POSITIVE LOGITS
     orders
    1.17
     confir
    0.95
    etary
    0.92
     warrants
    0.90
    uria
    0.86
     warrant
    0.84
     permission
    0.82
     commanded
    0.81
    urgical
    0.79
     Orders
    0.77
    Activations Density 0.018%

    No Known Activations