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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. 7663
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    Explanations

    phrases related to restrictions or limitations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating restrictions or limitations

    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
     largeDownload
    -0.78
    icipated
    -0.74
    natureconservancy
    -0.67
    started
    -0.65
    ahead
    -0.63
    MORE
    -0.63
    NR
    -0.62
    MIT
    -0.61
    grain
    -0.60
    ctl
    -0.60
    POSITIVE LOGITS
     appease
    0.75
     subsistence
    0.73
     accommodate
    0.72
     exclude
    0.71
     preserve
    0.71
    ggles
    0.67
     avoid
    0.67
     conserve
    0.67
     sparing
    0.66
     millisec
    0.65
    Activations Density 0.072%

    No Known Activations