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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. 7-RES-JB
    11. 11155
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    Explanations

    phrases related to waiting or lining up in a queue

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to queues and waiting lines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oral
    -0.90
    agnetic
    -0.67
     Arkham
    -0.67
    auri
    -0.65
     Seym
    -0.65
     mathemat
    -0.64
    inav
    -0.63
     Ecc
    -0.63
    natureconservancy
    -0.63
    ortium
    -0.62
    POSITIVE LOGITS
     queue
    1.17
     queues
    1.13
    Queue
    0.96
    naires
    0.84
    queue
    0.84
    iu
    0.83
    erness
    0.83
     backlog
    0.79
    ged
    0.78
     que
    0.77
    Activations Density 0.038%

    No Known Activations