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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. 9-RES-JB
    11. 1704
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    Explanations

    irrelevant or nonsensical content, possibly due to noise or the neuron not having a clear pattern to match

    oai_token-act-pair · gpt-3.5-turbo

    references to legal terms and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neighb
    -0.82
     Saiyan
    -0.80
     humour
    -0.78
     telesc
    -0.78
    xual
    -0.77
     congr
    -0.75
     thrill
    -0.74
     fancy
    -0.74
     colours
    -0.73
     dynam
    -0.72
    POSITIVE LOGITS
    According
    1.68
    Specifically
    1.65
    Advertisement
    1.59
    However
    1.54
    Instead
    1.54
    Critics
    1.49
    Additionally
    1.48
    Officials
    1.47
    Among
    1.46
    Under
    1.45
    Activations Density 0.488%

    No Known Activations