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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. 3813
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    INDEX
    Explanations

    data-related terms such as trends, growth rates, statistics, and survey findings

    oai_token-act-pair · gpt-3.5-turbo

    instances of trends and patterns in data or behavior

    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
     Duchess
    -0.65
    ucl
    -0.65
     Atomic
    -0.64
     orbits
    -0.62
     Prepar
    -0.61
     warranties
    -0.60
     preparations
    -0.59
     Turing
    -0.59
     Rut
    -0.59
    missions
    -0.58
    POSITIVE LOGITS
     mirrored
    1.28
     echoed
    1.15
     replicated
    1.12
     exacerbated
    1.10
     persisted
    1.09
     reflected
    1.06
     manifested
    1.04
     reversed
    1.03
     compounded
    1.03
     paralle
    1.01
    Activations Density 0.294%

    No Known Activations