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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. 8381
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    Explanations

    keywords related to graphical representations or graphs in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to graphs and graph-related concepts

    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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    Negative Logits
     Bans
    -0.70
     Ambrose
    -0.68
     Burton
    -0.67
     Lauder
    -0.64
     Ladies
    -0.63
    ignt
    -0.62
    ãģĤ
    -0.61
     Mechdragon
    -0.61
     Cele
    -0.60
     charity
    -0.59
    POSITIVE LOGITS
    ically
    1.35
    ical
    1.19
    ite
    0.98
    graph
    0.97
    ql
    0.91
    QL
    0.90
    ician
    0.88
    iq
    0.83
     visualization
    0.82
    cape
    0.81
    Activations Density 0.041%

    No Known Activations