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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. 3-RES-JB
    11. 5594
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    usters
    -0.74
    uster
    -0.70
     challeng
    -0.69
     toile
    -0.69
     refreshed
    -0.69
     transition
    -0.67
     barg
    -0.67
     consumed
    -0.66
     sacrific
    -0.64
     sprint
    -0.64
    POSITIVE LOGITS
     Hearing
    0.79
     Asked
    0.78
    Exit
    0.78
    hua
    0.77
     Apart
    0.77
    catentry
    0.75
     ®
    0.74
     Thieves
    0.74
     Adds
    0.73
     ["
    0.72
    Activations Density 0.087%

    No Known Activations