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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. 9-RES-JB
    11. 1875
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    Explanations

    phrases related to waiting, lines, and queues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of queues and waiting times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oral
    -0.75
    achev
    -0.75
     Seym
    -0.69
     Marketable
    -0.66
     mathemat
    -0.64
     RAD
    -0.63
    sonian
    -0.63
    iscopal
    -0.63
    angible
    -0.62
    orpor
    -0.61
    POSITIVE LOGITS
     queues
    1.13
     queue
    1.09
    naires
    0.84
    Queue
    0.83
     waiting
    0.82
     Waiting
    0.81
     waits
    0.80
     staffed
    0.80
     awaiting
    0.79
    wait
    0.79
    Activations Density 0.156%

    No Known Activations