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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. 20180
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    Explanations

    descriptions related to physical attributes or features

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to physical attributes or features

    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
    apsed
    -0.76
     Agenda
    -0.76
     Declaration
    -0.69
     jailed
    -0.69
     Waterloo
    -0.69
     Demand
    -0.69
     Weeks
    -0.66
     Rent
    -0.66
     Lifetime
    -0.66
    ãĥ¯ãĥ³
    -0.65
    POSITIVE LOGITS
     accent
    1.26
     aest
    1.25
     detract
    1.20
     visually
    1.20
     confuse
    1.20
     resemble
    1.07
     evoke
    1.03
     minimize
    1.03
     simulate
    1.02
     signify
    1.02
    Activations Density 0.415%

    No Known Activations