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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. 20446
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    Explanations

    phrases related to airline travel incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conflicts or arguments involving airline staff

    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
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -1.04
    ãĢ
    -0.87
     sculpt
    -0.82
    gem
    -0.78
    oliath
    -0.76
    MpServer
    -0.73
     Davidson
    -0.73
     Wit
    -0.73
     Forge
    -0.73
    ertodd
    -0.72
    POSITIVE LOGITS
     airline
    1.98
     airlines
    1.98
     passengers
    1.89
     Airlines
    1.83
     TSA
    1.80
     flight
    1.77
     flights
    1.75
     baggage
    1.75
     Flight
    1.74
     airport
    1.72
    Activations Density 0.485%

    No Known Activations