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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    references to buses

    oai_token-act-pair · gpt-3.5-turbo

    references to buses and related transportation terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iths
    -0.88
    ionage
    -0.73
    reditary
    -0.73
    manship
    -0.72
     attribution
    -0.72
    igree
    -0.72
    iary
    -0.68
    lished
    -0.67
     Feldman
    -0.67
     Meta
    -0.66
    POSITIVE LOGITS
     bus
    3.69
     buses
    2.77
     Bus
    2.32
    Bus
    2.16
    bus
    2.15
     BUS
    1.72
     streetcar
    1.48
     transit
    1.35
     ferry
    1.35
    BUS
    1.34
    Activations Density 0.018%

    No Known Activations