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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. 85
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    oai_token-act-pair · gpt-3.5-turbo

    references to installation processes

    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
    shaw
    -0.83
    ãĥĥãĥī
    -0.74
    zona
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    imb
    -0.73
    sem
    -0.72
    zer
    -0.71
    generic
    -0.71
    robe
    -0.69
    vier
    -0.69
    gans
    -0.69
    POSITIVE LOGITS
     installation
    0.91
    eering
    0.79
     ende
    0.78
    arily
    0.77
     installations
    0.74
     placement
    0.71
     process
    0.71
    ary
    0.66
     Facility
    0.66
    alist
    0.65
    Activations Density 0.021%

    No Known Activations