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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. 289
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    oai_token-act-pair · gpt-3.5-turbo

    references to official policies and regulations

    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
     resil
    -0.65
     glaciers
    -0.61
     ponds
    -0.59
     molten
    -0.58
    usercontent
    -0.57
    complex
    -0.56
     centrif
    -0.55
     fren
    -0.53
    natureconservancy
    -0.53
     pools
    -0.53
    POSITIVE LOGITS
    ij士
    0.82
    escription
    0.69
    £ı
    0.68
    odox
    0.63
    xit
    0.63
    sama
    0.63
    ISA
    0.63
     Quit
    0.60
    ername
    0.60
    acea
    0.59
    Activations Density 1.895%

    No Known Activations