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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. 8-RES-JB
    6. 15589
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    Explanations

    phrases related to computer programming and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    elements related to software functionality and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alysis
    -0.70
    lier
    -0.69
     exception
    -0.67
    oÄŁ
    -0.65
     maneuvers
    -0.64
    ALLY
    -0.64
    ously
    -0.63
    aneously
    -0.63
     motions
    -0.62
    times
    -0.61
    POSITIVE LOGITS
    ource
    1.50
    ystem
    1.43
    heet
    1.33
    mith
    1.30
    hift
    1.27
    hip
    1.26
    pace
    1.20
    peed
    1.20
    chool
    1.19
    ilver
    1.19
    Activations Density 0.249%

    No Known Activations