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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. 12-RES-JB
    11. 3385
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    Explanations

    discussions regarding technology and computer hardware

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that highlight comparisons and contrasts in contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     texted
    -0.60
     bishops
    -0.59
     Presbyter
    -0.58
     --
    -0.57
     counselors
    -0.57
     redacted
    -0.57
     mailed
    -0.56
     chained
    -0.56
     senators
    -0.54
     Episcopal
    -0.54
    POSITIVE LOGITS
    ÃĥÃĤ
    0.94
    Þ
    0.94
    ãĢ
    0.93
    âķIJâķIJ
    0.91
    ãĥķãĤ©
    0.91
    ̶
    0.89
    ãĥ¯ãĥ³
    0.88
    ãĥij
    0.87
    âķIJ
    0.86
    âĢ
    0.85
    Activations Density 0.597%

    No Known Activations