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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
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    Explanations

    mentions or references to passengers in the context of transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to passengers in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.87
    enegger
    -0.78
     Retrieved
    -0.75
    itsch
    -0.70
    ARA
    -0.68
     Skydragon
    -0.66
    ologies
    -0.66
    ector
    -0.66
    SPONSORED
    -0.65
    endo
    -0.65
    POSITIVE LOGITS
     passenger
    0.97
     passengers
    0.95
     onboard
    0.92
     pige
    0.88
     fares
    0.84
     aboard
    0.82
    wings
    0.80
     pigeon
    0.80
     cabin
    0.80
    hip
    0.80
    Activations Density 0.014%

    No Known Activations