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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. 2-RES-JB
    11. 9424
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    Explanations

    phrases related to seating arrangements and numbers of seats

    oai_token-act-pair · gpt-3.5-turbo

    references to seating arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Operation
    -0.78
    enegger
    -0.70
    OPER
    -0.68
     Phys
    -0.65
    FTWARE
    -0.65
    ARA
    -0.64
     Mother
    -0.64
    \\\\\\\\\\\\\\\\
    -0.62
    ctors
    -0.61
     Ivy
    -0.61
    POSITIVE LOGITS
     seats
    1.21
    poons
    1.05
     seating
    0.96
     Tickets
    0.96
    hare
    0.94
    pread
    0.93
     Seat
    0.92
    seat
    0.91
     seat
    0.88
     tickets
    0.85
    Activations Density 0.014%

    No Known Activations