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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. 0-RES-JB
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    Explanations

    references to seating arrangements or seats in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "seats" in various contexts

    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
    wik
    -0.73
    weak
    -0.70
    legraph
    -0.67
    let
    -0.65
     Project
    -0.64
    archive
    -0.63
    Phys
    -0.63
    estead
    -0.63
    bi
    -0.63
    ource
    -0.63
    POSITIVE LOGITS
     seats
    4.11
     seat
    2.77
    seat
    2.26
     seating
    2.26
     Seat
    2.00
     chairs
    1.94
     tickets
    1.66
     benches
    1.54
     booths
    1.40
     beds
    1.37
    Activations Density 0.010%

    No Known Activations