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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. 5-RES-JB
    6. 12826
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    INDEX
    Explanations

    dates in the format 'YYYY' that relate to significant events or periods of time

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2016

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.69
    imen
    -0.67
    phia
    -0.65
     precaution
    -0.65
     snipp
    -0.64
    angs
    -0.63
     cumbers
    -0.62
     prick
    -0.62
     bip
    -0.61
     clipping
    -0.61
    POSITIVE LOGITS
    20439
    1.06
    å¹
    0.86
    bleacher
    0.79
    peak
    0.73
    nd
    0.72
     Became
    0.72
    â̲
    0.71
    â̳
    0.70
    ileaks
    0.68
    6666
    0.68
    Activations Density 0.041%

    No Known Activations