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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. 11-RES-JB
    6. 14120
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    INDEX
    Explanations

    instances where time management or allocation is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of spending time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dor
    -0.74
    assis
    -0.72
    named
    -0.70
    riel
    -0.68
    liga
    -0.67
    urse
    -0.67
    elled
    -0.66
    lar
    -0.65
    CE
    -0.64
    ELS
    -0.62
    POSITIVE LOGITS
     outdoors
    1.02
     indoors
    0.92
     discussing
    0.86
     studying
    0.86
     deliber
    0.86
     researching
    0.85
     listening
    0.84
     worrying
    0.84
     spent
    0.84
     contemplating
    0.82
    Activations Density 0.067%

    No Known Activations