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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. 21826
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    Explanations

    keywords related to hospitality and accommodation services, such as "hotel", "Airbnb", and "lodging"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hotel industry operations and features

    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
    ulton
    -0.87
     McCull
    -0.86
     pse
    -0.84
     Pearce
    -0.82
     Gohan
    -0.77
     cruc
    -0.76
    Graph
    -0.74
     Klopp
    -0.73
    graph
    -0.73
     Cortex
    -0.72
    POSITIVE LOGITS
     Airbnb
    2.11
     hotels
    1.94
     hotel
    1.93
     lodging
    1.74
     motel
    1.63
     Marriott
    1.62
     Hotel
    1.62
     hospitality
    1.61
    bnb
    1.60
     rentals
    1.56
    Activations Density 0.348%

    No Known Activations