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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15179
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    Explanations

    phrases related to waiting in a line

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to waiting in lines or queues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.76
    oral
    -0.72
    achev
    -0.71
     Fortress
    -0.71
     Passive
    -0.67
    natureconservancy
    -0.67
     coh
    -0.67
    çīĪ
    -0.65
     IPM
    -0.63
    lvl
    -0.63
    POSITIVE LOGITS
     queues
    1.42
     queue
    1.36
     checkout
    1.19
     kios
    1.18
     clerk
    1.17
     clerks
    1.12
     booth
    1.05
     attendant
    1.02
     booths
    1.02
     desks
    0.99
    Activations Density 0.245%

    No Known Activations