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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. 2-RES-JB
    6. 20589
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    INDEX
    Explanations

    instances where something is observed or experienced directly

    oai_token-act-pair · gpt-3.5-turbo

    references to firsthand experiences and eyewitness accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nan
    -0.79
    merce
    -0.78
    corn
    -0.77
    ramid
    -0.77
    nam
    -0.71
    rar
    -0.71
    rug
    -0.69
    uyomi
    -0.67
    erenn
    -0.67
    ishops
    -0.66
    POSITIVE LOGITS
     firsthand
    1.16
    ewitness
    0.94
     eyewitness
    0.81
    Effects
    0.73
     attest
    0.69
     testimonies
    0.68
     VIDEOS
    0.66
     Explorer
    0.64
     witness
    0.62
     perspect
    0.62
    Activations Density 0.009%

    No Known Activations