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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. 1-RES-JB
    11. 7205
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    INDEX
    Explanations

    mentions of specific types of seating arrangements

    oai_token-act-pair · gpt-3.5-turbo

    references to seating arrangements and capacities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omb
    -0.76
    legraph
    -0.68
    operation
    -0.67
    remlin
    -0.67
    ague
    -0.63
    ISS
    -0.62
    vernment
    -0.61
     Ivy
    -0.61
    afort
    -0.61
    grave
    -0.60
    POSITIVE LOGITS
     seats
    1.20
     Seat
    1.14
     seating
    1.08
    seat
    1.04
    pread
    0.93
     seat
    0.93
     tickets
    0.89
     Tickets
    0.88
     Lounge
    0.85
     chairs
    0.84
    Activations Density 0.014%

    No Known Activations