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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. 6376
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    INDEX
    Explanations

    references to future plans, growth, and ambitions in a business context

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to business growth and strategic positioning

    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
     Yose
    -0.71
    acists
    -0.70
     faint
    -0.66
     Chomsky
    -0.66
     pse
    -0.66
     horrors
    -0.63
     readings
    -0.63
     Presbyter
    -0.63
     Auschwitz
    -0.63
    othy
    -0.62
    POSITIVE LOGITS
     profitability
    1.35
     financially
    1.24
     globally
    1.23
     IPO
    1.19
     monet
    1.19
     marketing
    1.16
    DAQ
    1.15
     selling
    1.15
     profitable
    1.15
     domestically
    1.14
    Activations Density 0.533%

    No Known Activations