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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 900
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    INDEX
    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    significant punctuation marks or sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     swinging
    -0.73
     veter
    -0.73
     haun
    -0.72
     neighb
    -0.70
    itiz
    -0.65
     coloring
    -0.63
     submar
    -0.62
    eatures
    -0.61
     parting
    -0.60
     Canaver
    -0.59
    POSITIVE LOGITS
     Introduction
    1.15
     [+
    0.85
     Initial
    0.82
     Overview
    0.80
     Introdu
    0.79
     Understand
    0.79
     Increase
    0.76
     Introduced
    0.76
     largeDownload
    0.75
     Differences
    0.75
    Activations Density 0.067%

    No Known Activations