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    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. 1197
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    INDEX
    Explanations

    quantitative terms related to business and finance

    oai_token-act-pair · gpt-3.5-turbo

    discussions about business practices and their implications

    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
     flashbacks
    -0.86
     Canaver
    -0.85
    mire
    -0.80
     Mew
    -0.79
     Ramos
    -0.77
    RAM
    -0.77
     Haram
    -0.75
    Redditor
    -0.74
     Hannibal
    -0.72
    winter
    -0.72
    POSITIVE LOGITS
     firms
    1.73
    Companies
    1.68
     companies
    1.66
     businesses
    1.64
     corporations
    1.60
     industries
    1.59
     entrepreneurs
    1.49
     corporate
    1.47
    compan
    1.45
     enterprises
    1.44
    Activations Density 0.546%

    No Known Activations