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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. 4-RES-JB
    11. 1557
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    Sov
    -0.83
    ahime
    -0.83
    jri
    -0.77
    haps
    -0.73
    Hunt
    -0.73
    entimes
    -0.72
    ibaba
    -0.71
    iesta
    -0.70
    crim
    -0.70
     unpop
    -0.69
    POSITIVE LOGITS
    (){
    0.90
     isEnabled
    0.86
     __
    0.85
     initialize
    0.84
    []
    0.76
    ){
    0.74
     ()
    0.73
    ()
    0.70
     {
    0.70
    <?
    0.69
    Activations Density 0.102%

    No Known Activations