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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. 21711
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    Explanations

    references to specific regulations, policies, and systems in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    discussions of regulations and policies

    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
    Not in Any Lists

    No Comments

    Negative Logits
    itton
    -0.77
    asty
    -0.67
     Carbuncle
    -0.64
     momentarily
    -0.60
     beware
    -0.60
    aunts
    -0.58
     Emin
    -0.57
    omas
    -0.57
    uders
    -0.57
    Boss
    -0.56
    POSITIVE LOGITS
     nor
    1.17
     anymore
    1.03
     mechanism
    0.96
     satisfactory
    0.95
     adequate
    0.94
     adequately
    0.91
     definitive
    0.90
     anywhere
    0.89
     comparable
    0.88
     conclusive
    0.88
    Activations Density 0.391%

    No Known Activations