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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. 24368
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    oai_token-act-pair · gpt-3.5-turbo

    various types of publications or written works

    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
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    Negative Logits
     scram
    -0.68
     Squadron
    -0.66
     Shrine
    -0.62
     hashing
    -0.62
     dissu
    -0.61
     resolves
    -0.60
     Grind
    -0.59
     slam
    -0.59
     Unic
    -0.59
     scramble
    -0.59
    POSITIVE LOGITS
    ccording
    0.98
    rawdownloadcloneembedreportprint
    0.95
    Born
    0.91
    Published
    0.90
    Filename
    0.87
    Contents
    0.87
    ³³³³³³³³³³³³³³³³
    0.85
    BILL
    0.84
    Introduction
    0.83
    WASHINGTON
    0.83
    Activations Density 0.545%

    No Known Activations