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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. 13069
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    Explanations

    phrases related to waiting in line or being in a queue

    oai_token-act-pair · gpt-3.5-turbo

    references to queues and waiting processes

    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
    oral
    -0.70
     RAD
    -0.69
     Israel
    -0.67
     Arkham
    -0.65
     Milton
    -0.65
     Martha
    -0.65
     Continental
    -0.64
     Solomon
    -0.64
     Lincoln
    -0.62
     Hers
    -0.60
    POSITIVE LOGITS
     queue
    1.46
     queues
    1.41
    queue
    1.25
    Queue
    1.24
     Que
    0.91
     que
    0.86
    naires
    0.82
    ERY
    0.78
    ysis
    0.78
    veyard
    0.75
    Activations Density 0.006%

    No Known Activations