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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. 11-RES-JB
    11. 344
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    Explanations

    references to Application Programming Interfaces (APIs) and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to APIs and their functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    creen
    -0.82
    interest
    -0.82
    wind
    -0.81
    lag
    -0.80
    lihood
    -0.80
    ning
    -0.75
    fur
    -0.73
    lo
    -0.72
    chance
    -0.69
    cop
    -0.68
    POSITIVE LOGITS
     endpoint
    1.05
     Gateway
    1.03
     Token
    1.01
     docs
    1.00
    KEN
    0.96
     Client
    0.94
     Documentation
    0.91
     Provider
    0.90
     API
    0.89
     CLIENT
    0.88
    Activations Density 0.059%

    No Known Activations