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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
    11. 18400
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    Explanations

    mentions of seating arrangements and availability

    oai_token-act-pair · gpt-3.5-turbo

    references to seating arrangements or numbers of seats

    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
     Forth
    -0.67
    athon
    -0.66
    Operation
    -0.65
    ARA
    -0.64
    operation
    -0.62
     Archangel
    -0.62
    ALLY
    -0.61
     Barron
    -0.61
     wildfire
    -0.61
    ONEY
    -0.60
    POSITIVE LOGITS
     seats
    1.20
     seating
    1.00
    poons
    0.98
    holders
    0.89
    pread
    0.89
     Seat
    0.87
     holders
    0.85
     tickets
    0.83
     Tickets
    0.81
    seat
    0.80
    Activations Density 0.018%

    No Known Activations