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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. 9-RES-JB
    11. 6172
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    Explanations

    words related to seating positions in various modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to passengers and their context in various situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.70
    Operation
    -0.64
    ologies
    -0.63
    enegger
    -0.63
     Marble
    -0.62
    SOURCE
    -0.62
     Nature
    -0.61
    ritz
    -0.61
     foreclosure
    -0.61
     Retrieved
    -0.60
    POSITIVE LOGITS
     passenger
    0.93
     onboard
    0.91
     pigeon
    0.90
     compartment
    0.90
     pige
    0.89
     passengers
    0.87
     cabin
    0.87
    uggage
    0.86
    hip
    0.85
    wings
    0.84
    Activations Density 0.037%

    No Known Activations