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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. 3-RES-JB
    11. 20442
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    Explanations

    references to waiting in a queue

    oai_token-act-pair · gpt-3.5-turbo

    references to queues or waiting lines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Arkham
    -0.74
    oral
    -0.70
    inav
    -0.69
     mathemat
    -0.63
     RAD
    -0.62
    anthrop
    -0.62
    aryl
    -0.60
    harm
    -0.60
    angible
    -0.60
     scalp
    -0.59
    POSITIVE LOGITS
    Queue
    1.15
     queue
    1.15
     queues
    1.10
    queue
    1.10
    erness
    0.90
     Que
    0.85
    naires
    0.81
     que
    0.78
    ERY
    0.75
    eers
    0.74
    Activations Density 0.004%

    No Known Activations