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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. 4-RES-JB
    6. 21458
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    Explanations

    terms related to degeneration, deterioration, or decay

    oai_token-act-pair · gpt-3.5-turbo

    terms related to degrees, particularly in relation to limits or measurement

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

    No Comments

    Negative Logits
    cule
    -0.74
     stakes
    -0.70
    éĹĺ
    -0.70
    bley
    -0.64
    mberg
    -0.59
     Nevada
    -0.59
    kers
    -0.59
     crowds
    -0.59
     JPM
    -0.59
     GOODMAN
    -0.58
    POSITIVE LOGITS
    rees
    1.35
    rowth
    1.28
    rad
    1.27
    ener
    1.21
    gradation
    0.95
    deg
    0.94
    rave
    0.89
    ¿
    0.87
    ree
    0.86
    reed
    0.85
    Activations Density 0.006%

    No Known Activations